Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Tianshou	7,125	10	5 months ago	33	August 22, 2023	97	mit	Python
An elegant PyTorch deep reinforcement learning library.
Deep Reinforcement Learning With Pytorch	2,741		a year ago			26	mit	Python
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimalrl	2,417		a year ago			21	mit	Python
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Ppo Pytorch	1,270		7 months ago			10	mit	Python
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Slm Lab	1,052		2 years ago			7	mit	Python
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Pytorch Rl	638		3 years ago			6	mit	Python
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Rl_algorithms	470		a year ago			15	mit	Python
Structural implementation of RL key algorithms
Lagom	365		4 years ago			5	mit	Jupyter Notebook
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Pytorch Rl	356		5 years ago	2	August 20, 2018	3		Python
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Handyrl	278		5 months ago			40	mit	Python
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

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Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

dependent packages 10total releases 33most recent commit 5 months ago

Deep Reinforcement Learning With Pytorch ⭐ 2,741

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

most recent commit a year ago

Minimalrl ⭐ 2,417

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

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Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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Slm Lab ⭐ 1,052

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Pytorch Rl ⭐ 638

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

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Rl_algorithms ⭐ 470

Structural implementation of RL key algorithms

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Lagom ⭐ 365

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

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Pytorch Rl ⭐ 356

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

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Handyrl ⭐ 278

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

most recent commit 5 months ago

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