Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Backgammon OpenAI Gym

A simple reinforcement learning simulation engine for OpenAI's gym.

Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

Basic Reinforcement Learning algorithms

Reinforcement Learning Algorithms in a simple Gridworld

Implementation of Reinforcement Algorithms from scratch

An efficient reinforcement learning algorithm for learning a strategy for game 2048

Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy

An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.

Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.

Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.

train an RNN to estimate value in a POMDP using TD learning

Reinforcement Learning algorithms

Implementation of reinforcement learning algorithms to solve pacman game. Part of CS188 AI course from UC Berkeley.

Onitama Board Game Simulator with Reinforcement Learning opponents (CS 5033)

Reinforcement Learning (COMP 579) Project

All of my reinforcement learning projects (Some of the projects may contain errors :D )