Farama-Foundation/PettingZoo
quality grade A, 94 out of 100A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Multi-Agent Reinforcement Learning with JAX
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The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
Official code for "Self-Distilled Agentic Reinforcement Learning"
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
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RL research on Android devices.
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
A unified framework for easy fine-tuning in Flow-Matching models
Reinforcement Learning environments based on the 1993 game Doom :godmode:
The Little Book of Reinforcement Learning
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
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PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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