Skip to content
/ POMO Public

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

Notifications You must be signed in to change notification settings

yd-kwon/POMO

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 

Repository files navigation

POMO

Files in "OLD_ipynb_ver" folders

They are the original codes (2020) used for the paper

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
accepted at NeurIPS 2020
http://arxiv.org/abs/2010.16011 https://proceedings.neurips.cc/paper/2020/hash/f231f2107df69eab0a3862d50018a9b2-Abstract.html

They are based on ipynb files and easier to play with interactively.


Files in "NEW_py_ver" folders

They are the updated codes, newly structured in 2021.
They are based on py files, so that they can be run on servers more easily.

About

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published