Skip to content

Latest commit

 

History

History
6 lines (4 loc) · 336 Bytes

README.md

File metadata and controls

6 lines (4 loc) · 336 Bytes

Reinforcement_Learning- implementations

About:

This repo contain implementations of several classical and latest RL algorithms. The codes uses both pytorch and tensorflow for implementations. OpenAI-gym environments are also used for testing these algorithms.

VPG_basic: Simplistic implementation of vanilla policy gradient.