835 Open source projects that are alternatives of or similar to Pytorch Drl

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

Solving OpenAI Gym problems.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

Highly Modular and Scalable 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.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

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

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

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

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

A reinforcement learning package for Julia

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

AI research environment for the Atari 2600 games 🤖.

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

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..

Minimal implementations of reinforcement learning algorithms by Tensorflow

MuZero

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

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement learning tutorials

Live Trading. Please star.

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

PyTorch C++ Reinforcement Learning

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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

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

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

An environment to high-frequency trading agents under reinforcement learning

Using deep reinforcement learning to tackle the game 2048.

The Retro Learning Environment (RLE) -- a learning framework for AI

For deep RL and the future of AI.

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

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Implementation of the Deep Q-learning algorithm to solve MDPs

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

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

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

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

Implementations of deep RL papers and random experimentation

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Our NIPS 2017: Learning to Run source code

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

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

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Reinforcement learning framework to accelerate research

Notes and comments about Deep Reinforcement Learning papers

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

An advanced program in Machine Learning and Deep Learning