Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Backgammon OpenAI Gym

TD-Gammon implementation

AI bots playing Tic Tac Toe

Path Planning with Reinforcement Learning algorithms in an unknown environment

Using Q-Learning Control for path planning of mobile agents in an enviroment.

Temporal Difference Learning for the Game of 2048 (Demo)

Introduction to Reinforcement Learning in Python

Gymnasium environment for the game 2048

A library of reinforcement learning (RL) algorithms.

Reinforcement Learning algorithms with nothing abstracted away

A self-learning chess artificial intelligence

Foundations Of Intelligent Learning Agents (FILA) Assignments

Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!

Various fundamental reinforcement learning algorithms implemented from scratch

Reinforcement Learning Notebooks

Decentralized temporal-difference reinforcement learning over randomly reshuffled topology

Implemented AdaTD and compared it with other optimization methods in temporal difference learning.

Code to simulate the computational model for the manuscript 'Error representations in apical dendrites of neocortical layer 5 neurons during learning'

[NeurIPS 2024] Temporal-Difference Learning Using Distributed Error Signals