SLM Lab
SLM Lab
SLM Lab
SLM Lab
v4.2.0
SLM Lab
🖥Setup
Installation
Quick Start
🚀Using SLM Lab
Lab Command
Lab Organization
Train: REINFORCE CartPole
Resume and Enjoy: REINFORCE CartPole
Agent Spec: DDQN+PER on LunarLander
Env Spec: A2C on Pong
GPU Usage: PPO on Pong
Parallelizing Training: Async SAC on Humanoid
Experiment and Search Spec: PPO on Breakout
Run Benchmark: A2C on Atari Games
Meta Spec: High Level Specifications
Post-Hoc Analysis
TensorBoard: Visualizing Models and Actions
Using SLM Lab In Your Project
📈Analyzing Results
Data Locations
Graphs and Data
Performance Metrics
🥇Benchmark Results
Public Benchmark Data
Discrete Environment Benchmark
Continuous Environment Benchmark
Atari Environment Benchmark
RL GIFs
🔧Development
Modular Design
Algorithm
Memory
Net
Profiling SLM Lab
📖Publications and Talks
Book: Foundations of Deep Reinforcement Learning
Talks and Presentations
🤓Resources
Deep RL Resources
Contributing
Motivation
Help
Contact
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Deep RL Resources

​📌 Master List of Deep RL Resources

kengz/awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources. - kengz/awesome-deep-rl
github.com

​📖 Books

  • Graesser and Keng, Foundations of Deep Reinforcement Learning​

  • Sutton and Barto, Reinforcement Learning: An Introduction​

  • Francois-Lavet et. al., An Introduction to Deep Reinforcement Learning​

​🏛 Introductory Tutorials / Courses

  • ​Andrew Karpathy Deep Reinforcement Learning: Pong from Pixels​

  • ​Arthur Juliani Simple Reinforcement Learning in Tensorflow Series​

  • ​David Silver UCL Course on RL 2015​

  • ​Deep RL Bootcamp 2017​

  • ​DeepMind UCL Deep RL Course 2018​

  • ​dennybritz/reinforcement-learning​

  • ​higgsfield/RL-Adventure-2​

  • ​higgsfield/RL-Adventure​

  • ​MorvanZhou/Reinforcement Learning Methods and Tutorials​

  • ​OpenAI Spinning Up​

  • ​Sergey Levine CS294 Deep Reinforcement Learning Fall 2017​

​🔬 Papers

  • ​DQN​

  • ​Double DQN (DDQN)

  • ​Dueling DQN​

  • ​Prioritized Experience Replay (PER)

  • ​Combined Experience Replay (CER)

  • ​Hindsight Experience Replay (HER)

  • ​QT-Opt​

  • ​Asynchronous Advantage Actor Critic (A3C)

  • ​Generalized Advantage Estimation (GAE)

  • ​Proximal Policy Optimization (PPO)

  • ​Self Imitation Learning (SIL)

  • ​Soft Actor-Critic (SAC)

📖Publications and Talks - Previous
Talks and Presentations
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Contributing
Last updated 1 year ago
Contents
Master List of Deep RL Resources
Books
Introductory Tutorials / Courses
Papers