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43 search results found

Easy Rl ⭐ 7,643

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Elegantrl ⭐ 3,229

Massively Parallel Deep Reinforcement Learning. 🔥

Deeprl ⭐ 2,834

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep_rl ⭐ 372

PyTorch implementations of deep reinforcement learning algorithms

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

Deep Reinforcement Learning Algorithms ⭐ 235

32 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.

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

Torchrl ⭐ 127

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

Paddle Rlbooks ⭐ 108

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

Deep Reinforcement Learning With Python ⭐ 94

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

Airsimdrl ⭐ 68

Autonomous UAV Navigation without Collision using Visual Information in Airsim

Model Free Algorithms ⭐ 52

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Td3 Pytorch Bipedalwalker V2 ⭐ 47

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

Reinforcementlearningzoo.jl ⭐ 45

Policy Gradient Methods ⭐ 35

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

Drl_algorithm_library ⭐ 33

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

☔ Deep RL agents with PyTorch☔

Rl Pytorch ⭐ 20

A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.

Deep Rl Mxnet ⭐ 16

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

Deep Rl Toolkit ⭐ 15

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Lightweight deep RL Libraray for continuous control.

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

A clean framework and implementations for reinforcement learning algorithms.

Reinforcement Learning ⭐ 11

Collection of reinforcement learning algorithms implementations with TensorFlow2

A simple and neat implementation of reinforcement learning algorithms.

Deeper_larger_actor Critic_rl ⭐ 11

Pytorch implementation of large network design in continous control RL.

Baselines of reinforcement learning trading agents for China stock market

ReLAx - Reinforcement Learning Applications Library

Policy_based_rl ⭐ 10

The implement of the policy gradient RL algorithm with pytorch

Deeprl Pytorch ⭐ 9

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

A Torch Based RL Framework for Rapid Prototyping of Research Papers

This repo was moved to: https://github.com/tradingAI/tbase

Deep reinforcement learning framework for fast prototyping based on PyTorch

Rl Basics ⭐ 8

Simple single file implementation of Deep Reinforcement Learning algorithms

Gym Td3 Keras ⭐ 6

Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

Spinning_up_kr ⭐ 6

Machinelearning ⭐ 6

Various machine learning implementations and tools

Smart Calibration ⭐ 5

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.

Related Searches

Python Ddpg (376)

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Algorithms Ddpg (94)

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