gym

39 Projekte teilen dieses GitHub-Topic

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

★ 13.6k

Gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and…

★ 12.2k

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly…

★ 10.2k

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization…

★ 2.9k

muzero-general

MuZero

★ 2.8k

gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

★ 2.1k

LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential…

★ 1.6k

envpool

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

★ 1.5k

reasoning-gym

[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards

★ 1.5k

Super-mario-bros-PPO-pytorch

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

★ 1.3k

Super-mario-bros-A3C-pytorch

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

★ 1.1k

skrl

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for…

★ 1.1k

Gym

Evaluate and improve models and agents using environments

★ 1.1k

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium,…

★ 1.1k

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

★ 1k

deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

★ 926

safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based…

★ 904

openrl

Unified Reinforcement Learning Framework

★ 839

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

★ 757

mobilegym

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research ·…

★ 741

stable-baselines3-contrib

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

★ 729

ma-gym

A collection of multi agent environments based on OpenAI gym.

★ 632

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

★ 600

VectorizedMultiAgentSimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning…

★ 590

Deep-RL-Keras

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

★ 550

morl-baselines

Multi-Objective Reinforcement Learning algorithms implementations.

★ 533

rl_algorithms

Structural implementation of RL key algorithms

★ 517

GoBigger

[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with…

★ 503

Gym-Trading-Env

A simple, easy, customizable Gymnasium environment for trading.

★ 497

rllte

Long-Term Evolution Project of Reinforcement Learning

★ 470

RLeXplore

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic…

★ 466

pytorch-rl

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

★ 453

RLs

Reinforcement Learning Algorithms Based on PyTorch

★ 453

gym-unrealcv

Unreal environments for reinforcement learning

★ 449

drq

DrQ: Data regularized Q

★ 423

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an…

★ 412

gym-sokoban

Sokoban environment for OpenAI Gym

★ 410

JORLDY

Repository for Open Source Reinforcement Learning Framework JORLDY

★ 365

stable-baselines

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

★ 307

Gemessen anhand der von beiden Projekten geteilten GitHub-Themen, gewichtet nach der Seltenheit jedes Themas.