Deliverables relating to the Reinforcement Learning University Unit

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

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

Slide presentation reviewing advances in reinforcement learning

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

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

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

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.

Solving CartPole using Distributional RL

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.

Reinforcement learning algorithms

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

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

A reinforcement learning framework for the game of Nim.

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.

Path Planning with Reinforcement Learning algorithms in an unknown environment

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

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.