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lerobot_policy_actvantage

ACTvantage: Advantage-conditioned ACT policy in the style of pi*0.6 - A LeRobot Policy Plugin

Installation

pip install lerobot_policy_actvantage

Or install from source:

cd lerobot_policy_actvantage
pip install -e .

Usage

Once installed, the ACTvantage policy automatically integrates with LeRobot's training and evaluation tools:

lerobot-train \
    --policy.type actvantage \
    --env.type pusht \
    --steps 200000

What is ACTvantage?

ACTvantage is an advantage-conditioned policy that extends ACT (Action Chunking with Transformers) in the style of pi*0.6. It conditions the policy on advantage values, allowing the model to learn from both high and low advantage trajectories.

Features

  • Advantage-conditioned action prediction
  • Compatible with all LeRobot datasets and environments
  • Minimal dependencies (only lerobot >= 0.4 required)
  • Full integration with LeRobot's training pipeline

Metadata

Release files for lerobot-policy-actvantage 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for lerobot-policy-actvantage 0.1.2
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Table of built distributions (wheels) for lerobot-policy-actvantage 0.1.2
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lerobot_policy_actvantage-0.1.2-py3-none-any.whl Python 3 none any Details

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Release files / lerobot_policy_actvantage-0.1.2.tar.gz

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