SLM Lab
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SLM Lab
v4.2.3
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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RL GIFs
A collection of replay GIFs generated from SLM Lab agents in "enjoy" mode.
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BeamRider
Breakout
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KungFuMaster
MsPacman
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Pong
Qbert
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Seaquest
SpaceInvaders
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Ant
HalfCheetah
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Hopper
Humanoid
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Inv.DoublePendulum
InvertedPendulum
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Reacher
Walker
🥇Benchmark Results - Previous
Atari Environment Benchmark
Next - 🔧Development
Modular Design
Last modified 6mo ago
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