# SLM Lab

## v4.2.0

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/v4.2.0/master.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/v4.2.0/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/v4.2.0/setup/quick-start.md): To test the installation.
- [Lab Command](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/slm-lab-command.md)
- [Lab Organization](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/lab-organization.md)
- [Train: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/train-and-enjoy-dqn-cartpole.md)
- [Resume and Enjoy: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/resume-and-enjoy-reinforce-cartpole.md)
- [Agent Spec: DDQN+PER on LunarLander](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec: A2C on Pong](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [GPU Usage: PPO on Pong](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Parallelizing Training: Async SAC on Humanoid](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/parallelizing-training-async-sac-on-humanoid.md)
- [Experiment and Search Spec: PPO on Breakout](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/search-spec-ppo-on-breakout.md)
- [Run Benchmark: A2C on Atari Games](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/run-benchmark-a2c-on-atari-games.md)
- [Meta Spec: High Level Specifications](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/meta-spec-high-level-specifications.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/post-hoc-analysis.md)
- [TensorBoard: Visualizing Models and Actions](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/tensorboard-visualizing-models-and-actions.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/v4.2.0/using-slm-lab/using-slm-lab-in-your-project.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/v4.2.0/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/v4.2.0/analyzing-results/session-graph.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/v4.2.0/analyzing-results/performance-metrics.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/v4.2.0/benchmark-results/public-benchmark-data.md)
- [Discrete Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.0/benchmark-results/discrete-benchmark.md)
- [Continuous Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.0/benchmark-results/continuous-benchmark.md)
- [Atari Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.0/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/v4.2.0/benchmark-results/rl-gifs.md): A collection of replay GIFs generated from SLM Lab agents in "enjoy" mode.
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/algorithms/reinforce.md)
- [Actor Critic](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/algorithms/a2c.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/memory/batch.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/memory/episodic.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/neural-networks/rnn.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/v4.2.0/development/profiling-slm-lab.md)
- [Book: Foundations of Deep Reinforcement Learning](https://slm-lab.gitbook.io/slm-lab/v4.2.0/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/v4.2.0/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/v4.2.0/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/v4.2.0/resources/contributing.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/v4.2.0/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/v4.2.0/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/v4.2.0/resources/contacts.md)

## v4.1.1

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/master/master.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/master/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/master/setup/quick-start.md): To test the installation.
- [Lab Command](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/slm-lab-command.md)
- [Lab Organization](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/lab-organization.md)
- [Train and Enjoy: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/train-and-enjoy-dqn-cartpole.md)
- [Agent Spec: DDQN+PER on LunarLander](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec: A2C on Pong](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [GPU Usage: PPO on Pong](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Parallelizing Training: Async SAC on Humanoid](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/parallelizing-training-async-sac-on-humanoid.md)
- [Experiment and Search Spec: PPO on Breakout](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/search-spec-ppo-on-breakout.md)
- [Run Benchmark: A2C on Atari Games](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/run-benchmark-a2c-on-atari-games.md)
- [Meta Spec: High Level Specifications](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/meta-spec-high-level-specifications.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/post-hoc-analysis.md)
- [TensorBoard: Visualizing Models and Actions](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/tensorboard-visualizing-models-and-actions.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/master/using-slm-lab/using-slm-lab-in-your-project.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/master/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/master/analyzing-results/session-graph.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/master/analyzing-results/performance-metrics.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/master/benchmark-results/public-benchmark-data.md)
- [Discrete Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/master/benchmark-results/discrete-benchmark.md)
- [Continuous Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/master/benchmark-results/continuous-benchmark.md)
- [Atari Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/master/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/master/benchmark-results/rl-gifs.md): A collection of replay GIFs generated from SLM Lab agents in "enjoy" mode.
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/master/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/master/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/master/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm](https://slm-lab.gitbook.io/slm-lab/master/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/master/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/master/development/algorithms/reinforce.md)
- [Actor Critic](https://slm-lab.gitbook.io/slm-lab/master/development/algorithms/a2c.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/master/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/master/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/master/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/master/development/memory/batch.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/master/development/memory/episodic.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/master/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/master/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/master/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/master/development/neural-networks/rnn.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/master/development/profiling-slm-lab.md)
- [Book: Foundations of Deep Reinforcement Learning](https://slm-lab.gitbook.io/slm-lab/master/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/master/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/master/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/master/resources/contributing.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/master/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/master/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/master/resources/contacts.md)

## v4.2.3

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/v4.2.3/master.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/v4.2.3/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/v4.2.3/setup/quick-start.md): To test the installation.
- [Lab Command](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/slm-lab-command.md)
- [Lab Organization](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/lab-organization.md)
- [Train: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/train-and-enjoy-dqn-cartpole.md)
- [Resume and Enjoy: REINFORCE CartPole](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/resume-and-enjoy-reinforce-cartpole.md)
- [Agent Spec: DDQN+PER on LunarLander](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec: A2C on Pong](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [GPU Usage: PPO on Pong](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Parallelizing Training: Async SAC on Humanoid](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/parallelizing-training-async-sac-on-humanoid.md)
- [Experiment and Search Spec: PPO on Breakout](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/search-spec-ppo-on-breakout.md)
- [Run Benchmark: A2C on Atari Games](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/run-benchmark-a2c-on-atari-games.md)
- [Meta Spec: High Level Specifications](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/meta-spec-high-level-specifications.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/post-hoc-analysis.md)
- [TensorBoard: Visualizing Models and Actions](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/tensorboard-visualizing-models-and-actions.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/v4.2.3/using-slm-lab/using-slm-lab-in-your-project.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/v4.2.3/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/v4.2.3/analyzing-results/session-graph.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/v4.2.3/analyzing-results/performance-metrics.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/v4.2.3/benchmark-results/public-benchmark-data.md)
- [Discrete Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.3/benchmark-results/discrete-benchmark.md)
- [Continuous Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.3/benchmark-results/continuous-benchmark.md)
- [Atari Environment Benchmark](https://slm-lab.gitbook.io/slm-lab/v4.2.3/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/v4.2.3/benchmark-results/rl-gifs.md): A collection of replay GIFs generated from SLM Lab agents in "enjoy" mode.
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/algorithms/reinforce.md)
- [Actor Critic](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/algorithms/a2c.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/memory/batch.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/memory/episodic.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/neural-networks/rnn.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/v4.2.3/development/profiling-slm-lab.md)
- [Book: Foundations of Deep Reinforcement Learning](https://slm-lab.gitbook.io/slm-lab/v4.2.3/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/v4.2.3/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/v4.2.3/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/v4.2.3/resources/contributing.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/v4.2.3/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/v4.2.3/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/v4.2.3/resources/contacts.md)

## v5.0.0

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.0.0/readme.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/v5.0.0/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/v5.0.0/setup/quick-start.md): Test your installation with a quick demo.
- [Train: PPO on CartPole](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/train-ppo-cartpole.md)
- [Resume and Replay](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/resume-and-replay.md)
- [Core Concepts](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/lab-organization.md)
- [Agent Spec](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [Meta Spec](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/meta-spec-high-level-specifications.md)
- [Search Spec](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/search-spec-ppo-on-breakout.md)
- [GPU Training](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Remote Training](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/remote-training.md)
- [Async Training: Hogwild!](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/async-training-a3c-hogwild.md)
- [Running Benchmarks](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/benchmark-specs.md)
- [CLI Reference](https://slm-lab.gitbook.io/slm-lab/v5.0.0/using-slm-lab/slm-lab-command.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/v5.0.0/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/v5.0.0/analyzing-results/session-graph.md)
- [TensorBoard](https://slm-lab.gitbook.io/slm-lab/v5.0.0/analyzing-results/tensorboard-visualizing-models-and-actions.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/v5.0.0/analyzing-results/performance-metrics.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/v5.0.0/analyzing-results/post-hoc-analysis.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/v5.0.0/benchmark-results/public-benchmark-data.md)
- [Discrete Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.0.0/benchmark-results/discrete-benchmark.md)
- [Continuous Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.0.0/benchmark-results/continuous-benchmark.md)
- [Atari Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.0.0/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/v5.0.0/benchmark-results/rl-gifs.md): Trained agents in action—watch SLM Lab's PPO and SAC algorithms play games and control robots.
- [Architecture](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/architecture.md)
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm Families](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/algorithms/reinforce.md)
- [Actor-Critic](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/algorithms/a2c.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/memory/onpolicyreplay.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/memory/onpolicybatchreplay.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/neural-networks/rnn.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/profiling-slm-lab.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/v5.0.0/development/using-slm-lab-in-your-project.md)
- [Book: Foundations of Deep RL](https://slm-lab.gitbook.io/slm-lab/v5.0.0/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/v5.0.0/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/contributing.md)
- [Code of Conduct](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/code-of-conduct.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/contacts.md)
- [Changelog](https://slm-lab.gitbook.io/slm-lab/v5.0.0/resources/changelog.md)

## v5.1.0

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.1.0/readme.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/v5.1.0/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/v5.1.0/setup/quick-start.md): Test your installation with a quick demo.
- [Train: PPO on CartPole](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/train-ppo-cartpole.md)
- [Resume and Replay](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/resume-and-replay.md)
- [Core Concepts](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/lab-organization.md)
- [Agent Spec](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [Meta Spec](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/meta-spec-high-level-specifications.md)
- [Search Spec](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/search-spec-ppo-on-breakout.md)
- [GPU Training](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Remote Training](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/remote-training.md)
- [Async Training: Hogwild!](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/async-training-a3c-hogwild.md)
- [Running Benchmarks](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/benchmark-specs.md)
- [CLI Reference](https://slm-lab.gitbook.io/slm-lab/v5.1.0/using-slm-lab/slm-lab-command.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/v5.1.0/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/v5.1.0/analyzing-results/session-graph.md)
- [TensorBoard](https://slm-lab.gitbook.io/slm-lab/v5.1.0/analyzing-results/tensorboard-visualizing-models-and-actions.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/v5.1.0/analyzing-results/performance-metrics.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/v5.1.0/analyzing-results/post-hoc-analysis.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/v5.1.0/benchmark-results/public-benchmark-data.md)
- [Discrete Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.1.0/benchmark-results/discrete-benchmark.md)
- [Continuous Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.1.0/benchmark-results/continuous-benchmark.md)
- [Atari Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.1.0/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/v5.1.0/benchmark-results/rl-gifs.md): Trained agents in action—watch SLM Lab's PPO and SAC algorithms play games and control robots.
- [Architecture](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/architecture.md)
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm Families](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/algorithms/reinforce.md)
- [Actor-Critic](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/algorithms/a2c.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/memory/onpolicyreplay.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/memory/onpolicybatchreplay.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/neural-networks/rnn.md)
- [TorchArc](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/neural-networks/torcharc.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/profiling-slm-lab.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/v5.1.0/development/using-slm-lab-in-your-project.md)
- [Book: Foundations of Deep RL](https://slm-lab.gitbook.io/slm-lab/v5.1.0/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/v5.1.0/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/contributing.md)
- [Code of Conduct](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/code-of-conduct.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/contacts.md)
- [Changelog](https://slm-lab.gitbook.io/slm-lab/v5.1.0/resources/changelog.md)

## v5.2.0

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.2.0/readme.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/v5.2.0/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/v5.2.0/setup/quick-start.md): Test your installation with a quick demo.
- [Train: PPO on CartPole](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/train-ppo-cartpole.md)
- [Resume and Replay](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/resume-and-replay.md)
- [Core Concepts](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/lab-organization.md)
- [Agent Spec](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [Meta Spec](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/meta-spec-high-level-specifications.md)
- [Search Spec](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/search-spec-ppo-on-breakout.md)
- [GPU Training](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Remote Training](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/remote-training.md)
- [Async Training: Hogwild!](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/async-training-a3c-hogwild.md)
- [Running Benchmarks](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/benchmark-specs.md)
- [CLI Reference](https://slm-lab.gitbook.io/slm-lab/v5.2.0/using-slm-lab/slm-lab-command.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/v5.2.0/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/v5.2.0/analyzing-results/session-graph.md)
- [TensorBoard](https://slm-lab.gitbook.io/slm-lab/v5.2.0/analyzing-results/tensorboard-visualizing-models-and-actions.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/v5.2.0/analyzing-results/performance-metrics.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/v5.2.0/analyzing-results/post-hoc-analysis.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/v5.2.0/benchmark-results/public-benchmark-data.md)
- [Discrete Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.2.0/benchmark-results/discrete-benchmark.md)
- [Continuous Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.2.0/benchmark-results/continuous-benchmark.md)
- [Atari Benchmark](https://slm-lab.gitbook.io/slm-lab/v5.2.0/benchmark-results/atari-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/v5.2.0/benchmark-results/rl-gifs.md): Trained agents in action—watch SLM Lab's PPO and SAC algorithms play games and control robots.
- [Architecture](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/architecture.md)
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm Families](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/reinforce.md)
- [Actor-Critic](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/a2c.md)
- [PPO](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/a2c/ppo.md)
- [SAC](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/a2c/sac.md)
- [CrossQ](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/algorithms/a2c/crossq.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/memory/onpolicyreplay.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/memory/onpolicybatchreplay.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/neural-networks/rnn.md)
- [TorchArc](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/neural-networks/torcharc.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/profiling-slm-lab.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/v5.2.0/development/using-slm-lab-in-your-project.md)
- [Book: Foundations of Deep RL](https://slm-lab.gitbook.io/slm-lab/v5.2.0/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/v5.2.0/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/contributing.md)
- [Code of Conduct](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/code-of-conduct.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/contacts.md)
- [Changelog](https://slm-lab.gitbook.io/slm-lab/v5.2.0/resources/changelog.md)

## v5.3.0

- [SLM Lab](https://slm-lab.gitbook.io/slm-lab/readme.md): Modular Deep Reinforcement Learning framework in PyTorch.
- [Installation](https://slm-lab.gitbook.io/slm-lab/setup/installation.md)
- [Quick Start](https://slm-lab.gitbook.io/slm-lab/setup/quick-start.md): Test your installation with a quick demo.
- [Train: PPO on CartPole](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/train-ppo-cartpole.md)
- [Resume and Replay](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/resume-and-replay.md)
- [Core Concepts](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/lab-organization.md)
- [Agent Spec](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/agent-spec-ddqn+per-on-lunarlander.md)
- [Env Spec](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/environment-spec-a2c-on-bipedalwalker.md)
- [Meta Spec](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/meta-spec-high-level-specifications.md)
- [Search Spec](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/search-spec-ppo-on-breakout.md)
- [GPU Training](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/gpu-usage-ppo-on-pong.md)
- [Remote Training](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/remote-training.md)
- [Async Training: Hogwild!](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/async-training-a3c-hogwild.md)
- [Running Benchmarks](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/benchmark-specs.md)
- [CLI Reference](https://slm-lab.gitbook.io/slm-lab/using-slm-lab/slm-lab-command.md)
- [Data Locations](https://slm-lab.gitbook.io/slm-lab/analyzing-results/analytics.md)
- [Graphs and Data](https://slm-lab.gitbook.io/slm-lab/analyzing-results/session-graph.md)
- [TensorBoard](https://slm-lab.gitbook.io/slm-lab/analyzing-results/tensorboard-visualizing-models-and-actions.md)
- [Performance Metrics](https://slm-lab.gitbook.io/slm-lab/analyzing-results/performance-metrics.md)
- [Post-Hoc Analysis](https://slm-lab.gitbook.io/slm-lab/analyzing-results/post-hoc-analysis.md)
- [Public Benchmark Data](https://slm-lab.gitbook.io/slm-lab/benchmark-results/public-benchmark-data.md)
- [Discrete Benchmark](https://slm-lab.gitbook.io/slm-lab/benchmark-results/discrete-benchmark.md)
- [Continuous Benchmark](https://slm-lab.gitbook.io/slm-lab/benchmark-results/continuous-benchmark.md)
- [Atari Benchmark](https://slm-lab.gitbook.io/slm-lab/benchmark-results/atari-benchmark.md)
- [Playground Benchmark](https://slm-lab.gitbook.io/slm-lab/benchmark-results/playground-benchmark.md)
- [RL GIFs](https://slm-lab.gitbook.io/slm-lab/benchmark-results/rl-gifs.md): Trained agents in action—watch SLM Lab's PPO and SAC algorithms play games and control robots.
- [Architecture](https://slm-lab.gitbook.io/slm-lab/development/architecture.md)
- [Modular Design](https://slm-lab.gitbook.io/slm-lab/development/modular-lab-components.md)
- [Algorithm Taxonomy](https://slm-lab.gitbook.io/slm-lab/development/modular-lab-components/algorithm-taxonomy.md)
- [Class Inheritance: A2C > PPO](https://slm-lab.gitbook.io/slm-lab/development/modular-lab-components/class-inheritance-a2c-greater-than-ppo.md)
- [Algorithm Families](https://slm-lab.gitbook.io/slm-lab/development/algorithms.md)
- [DQN](https://slm-lab.gitbook.io/slm-lab/development/algorithms/dqn.md)
- [REINFORCE](https://slm-lab.gitbook.io/slm-lab/development/algorithms/reinforce.md)
- [Actor-Critic](https://slm-lab.gitbook.io/slm-lab/development/algorithms/a2c.md)
- [PPO](https://slm-lab.gitbook.io/slm-lab/development/algorithms/a2c/ppo.md)
- [SAC](https://slm-lab.gitbook.io/slm-lab/development/algorithms/a2c/sac.md)
- [CrossQ](https://slm-lab.gitbook.io/slm-lab/development/algorithms/a2c/crossq.md)
- [Memory](https://slm-lab.gitbook.io/slm-lab/development/memory.md)
- [Replay](https://slm-lab.gitbook.io/slm-lab/development/memory/replay.md)
- [PrioritizedReplay](https://slm-lab.gitbook.io/slm-lab/development/memory/prioritizedreplay.md)
- [OnPolicyReplay](https://slm-lab.gitbook.io/slm-lab/development/memory/onpolicyreplay.md)
- [OnPolicyBatchReplay](https://slm-lab.gitbook.io/slm-lab/development/memory/onpolicybatchreplay.md)
- [Net](https://slm-lab.gitbook.io/slm-lab/development/neural-networks.md)
- [MLP](https://slm-lab.gitbook.io/slm-lab/development/neural-networks/mlp.md)
- [CNN](https://slm-lab.gitbook.io/slm-lab/development/neural-networks/cnn.md)
- [RNN](https://slm-lab.gitbook.io/slm-lab/development/neural-networks/rnn.md)
- [TorchArc](https://slm-lab.gitbook.io/slm-lab/development/neural-networks/torcharc.md)
- [Profiling SLM Lab](https://slm-lab.gitbook.io/slm-lab/development/profiling-slm-lab.md)
- [Using SLM Lab In Your Project](https://slm-lab.gitbook.io/slm-lab/development/using-slm-lab-in-your-project.md)
- [Book: Foundations of Deep RL](https://slm-lab.gitbook.io/slm-lab/publications-and-talks/instruction-for-the-book-+-intro-to-rl-section.md)
- [Talks and Presentations](https://slm-lab.gitbook.io/slm-lab/publications-and-talks/talks-given-with-slm-lab.md)
- [Deep RL Resources](https://slm-lab.gitbook.io/slm-lab/resources/untitled.md)
- [Contributing](https://slm-lab.gitbook.io/slm-lab/resources/contributing.md)
- [Code of Conduct](https://slm-lab.gitbook.io/slm-lab/resources/code-of-conduct.md)
- [Motivation](https://slm-lab.gitbook.io/slm-lab/resources/motivation.md)
- [Help](https://slm-lab.gitbook.io/slm-lab/resources/help.md)
- [Contact](https://slm-lab.gitbook.io/slm-lab/resources/contacts.md)
- [Changelog](https://slm-lab.gitbook.io/slm-lab/resources/changelog.md)