Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis

A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.

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

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

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

Path Planning with Reinforcement Learning algorithms in an unknown environment

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.

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

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.

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

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

Reinforcement learning algorithms

Deliverables relating to the Reinforcement Learning University Unit

Reinforcement Learning: Modification of Q-learning through the use DynaQ learning and Double-Q learning.