🚧 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 git@github.com: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 git@github.com:Farama-Foundation/Metaworld cd Metaworld && git checkout 04be337a pip install -e .
- for D4RL experiments:
Metadata
Release files for wiserl 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| wiserl-0.0.2.tar.gz | 41.4 kB | Details |
Release files / wiserl-0.0.2.tar.gz
| Download URL | wiserl-0.0.2.tar.gz |
|---|---|
| Size | 41.4 kB |
| Tags | Source |
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