temporal-differencing-learning

This directory, contains the source code of the Adaptive PacMan i designed for my Master's degree dissertation. [Videoclip Inside]

tabular and deep rl algorithms

Benchmarking tabular RL (Q-Learning, Double-Q, SARSA, Expected SARSA) on Gymnasium Taxi — with action masking, ablations, statistical analysis, and demos.

Exercises in reinforcement learning

Reinforcement Learning Projects on Dynamic Programming, Monte Carlo and Deep Q-Networks (October, 2020).

This repo contains python implementation to the cliff walking problem from RL Introduction by Sutton & Barto Example 6.6.

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

Visualization of some reinforcement learning algorithms (sarsa, qlearning, monte carlo)

A Python script that executes a RL algorithm (Temporal Difference/Q-Learning) that trains an agent inside a labyrinth to find the exit with the least number of steps possible

Applying reinforcement learning methods to a simple card game.

Implementation of some Reinforcement Learning methods for grid world in Python

Exercises and projects from Udacity's Nanodegree

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

An AI plays Fib2584, a variation of the well-known game 2048, with temporal difference learning.

Experiments with n-step Temporal Difference learning (Q-learning, SARSA, Expected SARSA) in a Cliff Walking environment, inspired by Sutton & Barto’s Reinforcement Learning.

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

Event-driven RL Framework for Long-horizon Control in Asynchronous, Discrete-event Systems

Assignments for CS747 - Foundations of Intelligent and Learning Agents

Play Tic-Tac-Toe against a reinforcement learning agent that just learned to play through temporal difference learning

Pacman AI contest for COSC-241