garage
latest

Getting Started

  • Installation
  • Quick Start with garage

Usage Guide (How-To)

  • Run Experiments
  • Use Image Observations
  • Monitor Your Experiments with TensorBoard
  • Train a Policy to Solve an Environment
  • Save, Load and Resume Experiments
  • Load and Use a Trained Policy
  • Use a Pre-Trained Network to Start a New Experiment
  • Run garage with Docker
  • Ensure Your Experiments are Reproducible
  • Run Meta-/Multi-Task RL Experiments
  • Maximize Resource Usage
  • Distribute Experiments Across Machines

Tutorials

  • Adding a New Environment
  • Implement a New Algorithm
  • Change How Your Algorithm Samples (Implement a Custom Worker)

Algorithms and Methods

  • BC
  • CEM
  • DDPG
  • ERWR
  • MAML
  • MT-PPO
  • MT-SAC
  • MT-TRPO
  • PEARL
  • PPO
  • RL2
  • SAC
  • TD3
  • TRPO
  • REINFORCE
  • DQN

Reference Guide

  • Environment
  • Environment Libraries
  • Experiment
  • Sampling
  • Logging and Plotting

Development Guide

  • Setting Up Your Development Environment
  • Testing
  • Benchmarking
  • Writing Documentation
  • Git Workflow
  • Preparing a Pull Request
  • Build garage Docker image from source

API Reference

  • garage
  • garage.envs
  • garage.experiment
  • garage.np
  • garage.plotter
  • garage.replay_buffer
  • garage.sampler
  • garage.tf
  • garage.torch
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