Reinforcement learning

This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.

List of Contents:

Environments

• PyBullet Physics

Multi-Armed-Bandits

• network routing with bandits

MDP

TD Learning:

• Q-Learning on FrozenLake and Taxi environment

Deep RL

• Multi-Agent Deep Reinforcement Learning for Fighting Forest Fires
• Working with stable_baseline (PPO algorithm) & gym library

Distributed RL

• Multi‑Agent Reinforcement leanrning for grid Environment