ShawXh / POMO

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

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

POMO

Files in "OLD_ipynb_ver" folders

They are original codes (2020) used in 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 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 paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"


Languages

Language:Python 75.4%Language:Jupyter Notebook 24.6%