麦麦健身餐规划师:Go To Gym 不如Go To ᗰ!这是一款超适合正在健身的大馋小子/大馋丫头们的麦当劳点餐 Skill!无论是在增肌期还是减脂期,只需告诉它这一顿的热量、蛋白质与预算需求,它会帮你自动计算餐品营养,推荐省钱搭配。更厉害的是,它的营养计算能够精细到去酱/去配料的程度,并且给出分顿吃配餐建议,在控制热量摄取的同时,减少食物浪费。它是基于麦当劳中国 MCP 配出训练计划式的点餐方案。
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Self hosted FLOSS fitness/workout, nutrition and weight tracker
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Simple and easily configurable grid world environments for reinforcement learning
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
A collection of robotics simulation environments for reinforcement learning
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
🌎💪 BrowserGym, a Gym environment for web task automation
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
Helpful tools and examples for working with flex-attention
Evaluate and improve models and agents using environments
Multi-objective Gymnasium environments for reinforcement learning
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Python library for Reinforcement Learning.
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
Multi-Objective Reinforcement Learning algorithms implementations.
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RSIGym: A Flexible Environment for Recursive Self-Improvement
深度学习与强化学习的系统学习路线:39 个实验,每个配数学推导笔记、原创插图和从零实现的代码
JevGym is an open-source platform designed to benchmark and facilitate better probabilistic estimation in Jev-alike models
Rubric-Centered Framework for Research-Plan Generation
Native red, blue, and purple security-agent harness for CYBER-FROST
BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation (arXiv:2610.07594)
Lightweight, GPU-accelerated reinforcement learning for Isaac Lab, mjlab, and Gymnasium.
GPU-native NES emulator + RL stack: thousands of parallel NES envs on one CUDA GPU, training agents on Super Mario Bros.
AMD Radeon ROCm reproduction of the DL3DV commercial-kitchen 3DGS shell for BiGym/MuJoCo, with verified W7900D artifacts.
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