Skip to content

amirabbasii/Cartpole_C51

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Solving CartPole using Distributional RL

In this project,I implemented an agent that can learn to control a cartpole using C51 algorithm which is introduced by "A Distributional Perspective on Reinforcement Learning".Also I used double q-learning instead q-learning to keep stability during training.

graph

Final score(testing the agent)

It could achieve score of 195.19 over 100 episodes!

Run on a single episode(reward=200)

Releases

No releases published

Packages

No packages published