Top 323 deep-reinforcement-learning open source projects

CSCI 599 deep learning and its applications final project

Resources, papers, tutorials

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

A deep reinforcement learning bot that plays tetris

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

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

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

🤖 Implements of Reinforcement Learning algorithms.

A collection of materials to help you learn about deep learning

Highly Modular and Scalable Reinforcement Learning

Deep Reinforcement Learning Notes

Top 200 deep learning Github repositories sorted by the number of stars.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Deep reinforcement learning for recommendation system

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

My Solution to Assignments of CS234

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Imitation learning algorithms

Artificial intelligence for the Snake game.

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

MuZero

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

An advanced program in Machine Learning and Deep Learning

Rainbow: Combining Improvements in Deep Reinforcement Learning

PyTorch Implementation of Neural Episodic Control (NEC)

Notes and comments about Deep Reinforcement Learning papers

Malmo Collaborative AI Challenge - Team Pig Catcher

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

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

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Implementation of the Deep Q-learning algorithm to solve MDPs

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

For deep RL and the future of AI.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Using deep reinforcement learning to tackle the game 2048.

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

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

Reinforcement Learning Algorithms

Notes on Deep Reinforcement Learning for Natural Language Processing papers

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)