The Autonomous Learning Library

The Autonomous Learning Library is a PyTorch-based toolkit for building and evaluating reinforcement learning agents.

Here are some common links:

• The GitHub repository.

• The Getting Started guide.

• An example project to help you get started building your own agents.

• The Benchmark Performance for our preset agents.

• The all.presets documentation, including default hyperparameters.

Enjoy!

User Guide:

• Getting Started
  • Prerequisites
  • Installation
  • Running a Preset Agent
• Basic Concepts
  • Agent-Based Design
  • Parallel Agents and Multiagents
  • Function Approximation
  • ALL Environments
  • ALL Presets
  • ALL Experiments
• Building Your Own Agent
• Benchmark Performance
  • Atari Benchmark
  • MuJoCo Benchmark
  • PyBullet Benchmark

Modules:

• all.agents
• all.approximation
• all.bodies
• all.core
• all.environments
• all.experiments
• all.logging
• all.memory
• all.nn
• all.optim
• all.policies
• all.presets

Indices and tables

• Index

• Module Index

• Search Page