OpenTau

Contents:

  • Overview
  • Installation
  • QuickStart
  • Concepts
  • 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
      • RECAP Training on pi0 policy
    • Collecting Human Demos
    • ROS Conversion
    • RoboCasa setup and evaluation
  • Models
  • How to contribute to OpenTau?

API Reference:

  • API Reference
OpenTau
  • Tutorials
  • Overview of RL Training
  • View page source

Overview of RL Training

This section provides step-by-step guides for training all supported RL policies on OpenTau.

RL Training Guides:

  • RECAP Training on pi0 policy
    • Introduction
    • Stage 1: SFT Training the VLA policy on whole libero dataset till convergence.
    • Stage 2: Fine-tuning the value function on whole libero dataset till convergence.
    • Stage 3: Offline RL training
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