Skip to content

Latest commit

 

History

History
7 lines (5 loc) · 359 Bytes

README.md

File metadata and controls

7 lines (5 loc) · 359 Bytes

This is an implementation of multiple reinforcement learning models. These algorithms were implemented using pytorch, gymnasium environments, and neural networks.

The following models have successfully trained to adequate reward in a number of environments:

TD3 algorithm model
Rainbow DQN algorithm model
SAC algorithm (Continuous Action Spaces)