Intention: should independently be able to demonstrate knowledge of the most basic methods within game AI field and able to reason around its historical development in relation to applications

This codebase includes a description of a common spatial alternation task (Frank et al., 2000) used to test memory in animals as a Markov Decision Process (MDP)

Using pygame to create a 2d pong game, then using gym and tensorflow to read the pixels on the screen using a CNN and then model the actions with a Qlearning RNN to beat the ai opponent

I use Open AI's Gym and Google's Tensorflow to create a reinforcement learning AI that learns how to play Atari games.

Implementation of Deep Q-Learning to Learn how to play a simple game written in python.

A simple MATLAB implementation of the Q-Learning algorthm.

In this project I will apply reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time. I will first investigate the environment the agent operates in by constructing a very basic driving implementation. Once the agent is successful at operating within…

Reinforcement Learning Project

Contains exercises from Game AI CS6150 at Northeastern Univ, Boston (Spring 2017)

Q-Learning based Reinforcement Learning implementation, make AI self-learn to play Cartpole and 3 Atari games (Boxing, Pong, Pacman)

Smartcab is a project which utilizes Reinforcement learning techniques to implement a self driving agent in a simplified world. It uses Q-learning algorithm to guide the agent while tackling the environmental constraints.

Q-Learning algorithm is implemented of Reinforcement learning to train a smartcab to drive.

The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU

This repository contains the code which can help us to understand how q-learning algorithm can be applied to build simple video game bot.

Mountain Car problem solving using RL - QLearning with OpenAI Gym Framework

My personal implementation of the Q-Learning algorithm.

Implementing Reinforcement learning algorithms consodering graph data structures as MDP.