903 Open source projects that are alternatives of or similar to pytorch-distributed

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.

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)

No description or website provided.

An elegant PyTorch deep reinforcement learning library.

🤖 Implements of Reinforcement Learning algorithms.

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

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Python library for Reinforcement Learning.

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

Repo for the Deep Reinforcement Learning Nanodegree program

🔥🌟《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!

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

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

☔ Deep RL agents with PyTorch☔

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

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

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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

A PyTorch library for building deep reinforcement learning agents.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

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

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

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Autonomous Drifting using Reinforcement Learning

playing idealized trading games with deep reinforcement learning

Minimal and Clean Reinforcement Learning Examples

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Simple Reinforcement Learning Framework

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

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

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

Lightweight deep RL Libraray for continuous control.

RLgraph: Modular computation graphs for deep reinforcement learning

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.

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

[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.

Live Trading. Please star.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

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

Deep Reinforcement Learning with pytorch & visdom

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

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

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

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

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

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)

Highly Modular and Scalable Reinforcement Learning

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

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Reinforcement learning with tensorflow 2 keras

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

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

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

Learning Continuous Control in Deep Reinforcement Learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo