Keras implementation of DQN on ViZDoom environment

The repository contains implementation of an AI agent to navigate and collect maximum yellow bananas, in the given environment using various deep reinforcement learning algorithms.

Integrated Convolutional Neural Networks (CNN) with Double Deep Q-Learning (DQN) Agent for OpenAI Pacman Domain.

Reinforcement learning using Keras

A reinforcement learning environment created to allow development of reinforcement learning algorithms, including basic solutions.

Deep Q-network reinforcement learning.

Udacity DRL Nanodegree Project 1 - Navigation

Deep Reinforcement Learning for simulated autonomous driving.

Contains deep reinforcement learning algorithms I have implemented.

Car learns to drive using reinforcement learning and pytorch

Just another approach to do machine learning stuff on games.

DQN Algorithm

Mountain Car Problem using Deep Q-Network (DQN )

Deep Reinforcement Learning agent that solves the Banana Navigation environment, as stated in the first project of Udacity DRL Nanodegree.

A library of Reinforcment Learning agents

Training a cat to find food with Deep Q-Learning 🐱🐾

Snake game with neural network AI model

Python reinforcement learning agent

Implementation of Deep Q Learning algorithms in pytorch