This repository has been archived by the owner on Oct 31, 2023. It is now read-only.

Name		Name	Last commit message	Last commit date
parent directory ..
README.md		README.md
agents.py		agents.py
bc.py		bc.py
bc_discrete.py		bc_discrete.py
gym.yaml		gym.yaml
pong.yaml		pong.yaml

README.md

BC

We propose an implementation of the BC algorithm for offline RL using a MSE Loss

bc.py is for continuous actions with MSE loss -- using d4rl
bc_discrete.py is for dsicrete actions with cross-entropy -- using d4rl_atari

Note on openAI gym: The gym API is changing a lot... Don't hesitate to use pip install 'gym[all]==0.15.3' to ensure compatibility with D4RL