1001 Open source projects that are alternatives of or similar to Machin

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

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

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

Reinforcement learning tutorials

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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

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

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

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

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Repo for the Deep Reinforcement Learning Nanodegree program

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

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)

Minimal and Clean Reinforcement Learning Examples

Python library for Reinforcement Learning.

juliareinforcementlearning.org/

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

RLgraph: Modular computation graphs for deep reinforcement learning

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

An elegant PyTorch deep reinforcement learning library.

Implementations of deep RL papers and random experimentation

Modularized Implementation of Deep RL Algorithms in PyTorch

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Minimal implementations of reinforcement learning algorithms by Tensorflow

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

Ape-X DQN & DDPG with pytorch & tensorboard

☔ Deep RL agents with PyTorch☔

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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

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

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

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

🤖 Implements of Reinforcement Learning algorithms.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

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

Solving OpenAI Gym problems.

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

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.

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

ROS 2 enabled Machine Learning algorithms

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..

A3C LSTM Atari with Pytorch plus A3G design

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Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

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

Scalable, event-driven, deep-learning-friendly backtesting library

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

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My experimentations with Reinforcement Learning in Pytorch

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ChainerRL is a deep reinforcement learning library built on top of Chainer.