OpenTau documentation

Contents:

• Overview
  • Motivation
  • Key Features
  • Quick Start
  • Checkpoints
  • Acknowledgements
• Installation
  • Requirements
  • Installation with PyPI
  • Installation with Source Code
  • Docker Installation (Optional)
  • Experiment Tracking
  • Distributed Training Configuration
• QuickStart
• Concepts
  • Policies
  • Datasets
  • Standard Data Format
  • Optional Standard-Format Keys
  • Configs
  • Environments
• Tutorials
  • Training and Checkpointing
  • Inference
  • Evaluation
  • Benchmarking and Profiling
  • Deployment
  • Datasets
  • Attaching segment metadata to a LeRobot v2.1 dataset
  • Visualization of Datasets
  • Overview of RL Training
  • Collecting Human Demos
  • ROS Conversion
  • RoboCasa setup and evaluation
• Models
  • pi05
  • pi0
  • value
• How to contribute to OpenTau?
  • You can contribute in so many ways!
  • Submitting a new issue or feature request
  • Submitting a pull request (PR)

API Reference:

• API Reference
  • opentau.policies
  • opentau.datasets
  • opentau.envs
  • opentau.utils
  • opentau.constants
  • opentau.configs

Indices and tables

• Index

• Module Index

• Search Page