Applying reinforcement learning methods to a simple card game.

Markov decision process master thesis

Second homework for the Reinforcement Learning course

An agent learns the optimal path towards its goal from any starting point while avoiding obstacles.

Implemented Learning to Drive a bicycle using reinforcement learning and shaping.

This repository contains the codes for Term Projects as part of the Reinforcement Learning course (CS600077) that I am taking in the Autumn 2023 semester at IIT Kharagpur

A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks

This is a solution for the Snake AI Environment using Tabular methods

Repository of Reinforcement Learning projects done during the course @sapienza

A dummy dialog dialog system implementing traditional Reinforcement Learning algorithms like Q-Leaning and SARSA

My solution for the "Easy21" assignment of the "UCL Course on RL"

A repository covering a range of topics from multi-arm bandits to reinforcement learning algorithms. Check out different applications of bandits, MDPs and RL algorithms along with theoretical aspects.

Deep RL toy example based on gym package with several methods

Q-learning agent to solve the frozen lake problem from the OpenAI gym

Advanced RL algorithms for two simplified versions of chess. Shortest Path finds the minimal moves between two cells based on piece capabilities. Capture Pieces trains against random opponents aiming for maximal captures in set moves. Features Deep Q-Learning, Policy Iteration, TD and more.

Given infinite possibilities, an AI agent learns the optimal path towards its goal from any starting point while avoiding obstacles.

Assignments and practices from various RL cources

Reversi game with multiple reinforcement learning algorithms.