789 Open source projects that are alternatives of or similar to Deep Q Learning

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Minimal and Clean Reinforcement Learning Examples

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

RLgraph: Modular computation graphs for deep reinforcement learning

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Highly Modular and Scalable Reinforcement Learning

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

🤖 Implements of Reinforcement Learning algorithms.

A reinforcement learning package for Julia

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A PyTorch library for building deep reinforcement learning agents.

Python library for Reinforcement Learning.

Implementations of Reinforcement Learning Models in Tensorflow

No description or website provided.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

playing idealized trading games with deep reinforcement learning

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

RAD: Reinforcement Learning with Augmented Data

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

[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.

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

Deep Reinforcement Learning with pytorch & visdom

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

TensorFlow2 Reinforcement Learning

Structural implementation of RL key algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Implementation of the Deep Q-learning algorithm to solve MDPs

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Using deep reinforcement learning to tackle the game 2048.

Reinforcement Learning Algorithms

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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

Deep Q-learning for playing flappy bird game

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

use AI to play some games.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A3C LSTM Atari with Pytorch plus A3G design

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

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

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

A course in reinforcement learning in the wild

Guided Policy Search

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving