sushant-ctrl/rl-implementations

This repository has all the codes and sources of various RL algorithms that I have implemented.

Reinforcement Learning Implementations

tags: Reinforcement Learning

Hands on experience gives a clear understanding of the concepts read. Implementation gives a different and better view of the theoretical knowledge. The errors that we encounter in the process helps learn a lot of things which lectures and books don't teach!

This repository has all the implementations of all the concepts and research papers read.

Each folder has a saperate Readme file where summary of the implemetations are given.

The Following algorithms are included:

• Multiarmed Bandits
• Tabular RL
• Monte Carlo Methods
• TD learning Methods
• DQN*
• Policy based Mehods**

*There are variants to dqn algorithm which are implemented here

**There are so many policy gradient based algorithms which are implemented here