lerobot-policy-actvantage 0.1.2

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

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