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)
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Updated
May 3, 2017 - Python
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.
Q-Learning based Reinforcement Learning implementation, make AI self-learn to play Cartpole and 3 Atari games (Boxing, Pong, Pacman)
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
Implementing Reinforcement learning algorithms consodering graph data structures as MDP.
Simulation of the classic game Bomberman using Q-Learning algorithm
Developing an optimal playing strategy for the popular game Blackjack using various Reinforcement Learning algorithms.
Reinforcement Learning Course Project - IIT Bombay Fall 2018
A Taxi driver agent that learns using Q learning and Sarsa
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
Q-learning algorithm from scratch in python for optimal path finding
Play flappy bird using reinforcement Learning. Trying to implement using keras
Code repository for my course on the fundamentals of reinforcement learning
Tappy Minions, which is similar to Flappy Bird Game, which learns from user game play and reinforce by Deep Learning Algorithm plays a Game automatically with maximum success rate.
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