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reinforcement-learning-environments 开源项目推荐(731 个)
reinforcement-learning-environments 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 731 个仓库用于一般RL环境的基于C++的高性能并行环境执行引擎(vectorized env)。
Evaluate and improve models and agents using environments
BabyAI platform. A testbed for training agents to understand and execute language commands.
ns3-gym - The Playground for Reinforcement Learning in Networking Research
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A simple, easy, customizable Gymnasium environment for trading.
Grid2Op a testbed platform to model sequential decision making in power systems.
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
Turn any song into playable piano sheet music. Paste a YouTube link or upload audio — get a PDF score. Open-source pipeline: Basic Pitch transcription, two-hand arrangement, RL-trained engraving.
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.
RL environments + evals for AI agents. Define once, train anything.
K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Deep Reinforcement Learning in C#
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/reinforcement-learning-environments。
- 该话题在 GitHub 上共有 731 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.4 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。