Implement several deep reinforcement learning algorithms on one of games in Atari 2600 - Space Invaders.

Deliverables relating to the Reinforcement Learning University Unit

Solving CartPole using Distributional RL

This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.

A reinforcement learning framework for the game of Nim.

Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning

With underflow, create trafic light clusters that interact together to regulate circulation

Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)

Slide presentation reviewing advances in reinforcement learning

This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.

Understanding several problems in RL and understanding how to solve those issues.

Reinforcement learning algorithms

Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning

A very detailed project of Chrome Dinosaur in Deep RL for beginners

Solver of the game “Coin Flip Cheaters” which can be found on https://primerlearning.org/. This is not a bot, in order to use it in the real game you would need to do it manually.

Reversi game with multiple reinforcement learning algorithms.

Environment-related differences of Deep Q-Learning and Deep Double Q-Learning

Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.

Path Planning with Reinforcement Learning algorithms in an unknown environment