1201 Open source projects that are alternatives of or similar to Master-Thesis

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

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

Minimal and Clean Reinforcement Learning Examples

A3C LSTM Atari with Pytorch plus A3G design

A high-performance Atari A3C agent in 180 lines of PyTorch

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..

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

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

Deep Reinforcement Learning with pytorch & visdom

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

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Combining deep learning and reinforcement learning.

A Universal Deep Reinforcement Learning Framework

Implementations of Reinforcement Learning Models in Tensorflow

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

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

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

Open-source simulator for autonomous driving research.

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

Reinforcement Learning Algorithms

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:

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

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

An OpenAI gym wrapper for CARLA simulator

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

BS::thread_pool: a fast, lightweight, and easy-to-use C++17 thread pool library

🔥🌟《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!

Learning Continuous Control in Deep Reinforcement Learning

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)

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

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

Code examples from Delphi Event-based and Asynchronous Programming Book

Swift coroutines for iOS, macOS and Linux.

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

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

MuZero

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

100% Vanilla Javascript Multithreading & Parallel Execution Library

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

《Java多线程编程实战指南（设计模式篇）》源码

The Darkest Pipeline - Multithreaded pipelines for modern C++

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A C++14 Task Manager / Scheduler

Reinforcement Learning algorithm's using google-colab

C++ lockless queue.

Fast multi-threaded memory allocator

A General-purpose Parallel and Heterogeneous Task Programming System

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

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

JAX implementations of core Deep RL algorithms

A fast simulator and a library dedicated to the channel coding.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

PyTorch implementation of Soft Actor-Critic (SAC)

mofuw is *MO*re *F*aster, *U*ltra minimal *W*ebserver.

Reinforcement Learning for Super Mario Bros using A3C on GPU

TensorFlow A2C to solve Acrobot, with synchronized parallel environments