Top 110 dqn open source projects

use AI to play some games.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Repo for the Deep Reinforcement Learning Nanodegree program

Structural implementation of RL key algorithms

Accompanying repository for Let's make a DQN / A3C series.

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

[파이썬과 케라스로 배우는 강화학습] 예제

RLgraph: Modular computation graphs for deep reinforcement learning

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

No description or website provided.

Solving POMDP using Recurrent networks

This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.

Autonomous Drifting using Reinforcement Learning

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

DQN to play Atari Pong

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

juliareinforcementlearning.org/

The implement of all kinds of dqn reinforcement learning with Pytorch

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Deep Q Network implements by Tensorflow

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Jupyter notebooks for Chainer hands-on

Pytorch Implementation of RL algorithms

Deep Q-Learning (DQN) implementation for Atari pong.

A framework for easy prototyping of distributed reinforcement learning algorithms

Logarithmic Reinforcement Learning

A PyTorch implementation of Human-Level Control through Deep Reinforcement Learning

大数据+人工智能+数据结构相关案例项目

Using reinforcement learning to train FlappyBird.

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

☔ Deep RL agents with PyTorch☔

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Ape-X DQN & DDPG with pytorch & tensorboard

Minimal implementations of reinforcement learning algorithms by Tensorflow

Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Deep Reinforcement Learning Pong Agent, King Pong, he's the best