RL agent for OpenAI Gym's Lunar Lander

A collection of Python modules to solve OpenAI Gym environments with Reinforcement Learning.

Keras implementation of DQN on ViZDoom environment

Teaching materials for the seminar on Application of Computational Intelligence Methods

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

Deep Reinforcement Learning agent learning and playing a customized Unity game environment

Replicating DQN papers by DeepMind for Breakout game

This repository contains the source code and documentation for the course project of the Deep Reinforcement Learning class at Northwestern University. The goal of the project was setting up an Open AI Gym and train different Deep Reinforcement Learning algorithms on the same environment to find out strengths and weaknesses for each algorithm. This will help us to get a better understanding of these algorithms and when it makes sense to use a particular algorithm or modification.

Deep Reinforcement Learning for Keras.

Double Q learning with Priortized Experience Replay

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

This repository contains the implementation of a DDQN agent to solve the CartPole-v0 problem. I use openai gym to simulate the environment.

Deep Reinforcement Learning with Self-Play

Solving the OpenAI gym environment CartPole-v1 with the DDQN algorithm

Deep Reinforcement Learning

Framework for deep reinforcement learning.

Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient (DDPG)

Repository for the Knot MDP

Atari - Deep Reinforcement Learning algorithms in TensorFlow

Chainer implementation of Double Deep Q-Network (Double DQN)

Catalog of reinforcement learning algorithms.

For testing out reinforcement learning things

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Deep Q-Learning Network in pytorch

Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.

Overview of a Deep Reinforcement Learning method using Q-learning that recently brought the state-of-the-art results in the Atari Emulator Environment

Solution of a first project of the deep reinforcement learning nanodegree at Udacity.

Navigation-Project: Project Nr 1 of the Deep-Reinforcement-Learning-Nanodegree of Udacity

An experiment on using deep learning to play games

Highly modularized implementation of popular deep RL algorithms by PyTorch

Tensorflow Implementation for "Noisy network for exploration"

CS 294: Deep Reinforcement Learning, Spring 2017 Berkeley

Deep Double Q-Learning implementation introduced by Hasselt et al in this paper: https://arxiv.org/abs/1509.06461. It's interfacing with openAI Gym. WIP.

TensorFlow implementation of Deep Reinforcement Learning papers

Implementation of DQN for Super Mario Bros. 1-1

Reinforcement Learning

Simple Implementations of Important Research Papers

Deep reinforcement learning package for torch7

TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)

Implementation of a Dueling Double Deep Q-value Network with tensorflow

DQN implementation in Keras + TensorFlow + OpenAI Gym

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

DQN

基于Tensorflow、OpenAI搭建的强化学习框架，训练机器自动操盘

Rainbow: Combining Improvements in Deep Reinforcement Learning