Skip to content
/ wPC Public

Implementation for " weighted policy constraints for offline reinforcement learning"

Notifications You must be signed in to change notification settings

qsa-fox/wPC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

wPC: Weighted Policy Constraints for Offline Reinforcement Learning

Pytorch implementation for " weighted policy constraints for offline reinforcement learning".

This implementation is build on the official TD3+BC code, and only add several new lines to TD3+BC code to get gain a siganificant performance improvements.

Usage

python main.py

About

Implementation for " weighted policy constraints for offline reinforcement learning"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages