A collection of environments for autonomous driving and tactical decision-making tasks
gymnasium-environment 开源项目推荐(148 个)
gymnasium-environment 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 148 个仓库Simple and easily configurable grid world environments for reinforcement learning
基于1993年游戏《毁灭战士:godmode》的强化学习环境:
Multi-objective Gymnasium environments for reinforcement learning
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.
SustainCluster: A high-fidelity, open-source Gymnasium environment for benchmarking multi-objective, sustainable workload scheduling across geo-distributed data centers. Integrates real-world AI traces, energy/carbon/weather data, and detailed DC physics.
Simple Grid Environment for Gymnasium
This repository provides an OpenAI Gym-compatible environment for production scheduling tasks, designed to benchmark reinforcement learning agents in job shop and flow shop settings.
Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
A Gymnasium environment for simulating and training reinforcement learning agents on the BlueROV2 underwater vehicle.
A Gymnasium Environment for the Job Shop Problem Using the Disjunctive Graph Approach.
Gym environments for manipulators based on crisp_py and ROS2: collect data and deploy policies on real ROS2 enabled manipulators.
Environments and various utilities for reinforcement learning with C++
Automated stock trading strategy using deep reinforcement learning and recurrent neural networks
Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios
Gymnasium environment to get started with deep reinforcement learning (DRL) using ROS 2 and Gazebo.
Implementation of DQN and DDQN algorithms for Playing Car Racing Game
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/gymnasium-environment。
- 该话题在 GitHub 上共有 148 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 1.1 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。