wiserl 0.0.2

A library desgined for Offline Preference-Based RL algorithms.

🚧 This repo is subject to major API changes 🚧

WiseRL provides unofficial and banchmarked PyTorch implementations for Offline Preference-Based RL algorithms, including:

• Oracle-IQL & Oracle AWAC
• Supervised Finetuning (SFT)
• BT Model + IQL/AWAC (BT-IQL/AWAC)
• Contrastive Prefereing Learning (CPL)
• Inverse Preference Learning + IQL/AWAC (IPL-IQL/AWAC)

Installation

• clone this repo and install the dependencies

  git clone [e-mail]:typoverflow/WiseRL
  cd WiseRL && pip install -e .
  

• install environment or dataset dependencies
  • for D4RL experiments:

    git clone https://github.com/Farama-Foundation/d4rl.git
    cd d4rl
    pip install -e .
    

  • for metaworld experiments:

    git clone [e-mail]:Farama-Foundation/Metaworld
    cd Metaworld && git checkout 04be337a
    pip install -e .