https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive.en A complete deep dive into the reinforcement learning ecosystem as of May 2026. We cover general-purpose RL libraries (RLlib, Stable-Baselines3, Tianshou, CleanRL, TorchRL, PFRL, TF-Agents), the DeepMind stack (OpenSpiel, Acme, Haiku/RLax/Distrax), Meta Pearl, environment standards (Gymnasium, PettingZoo, ALE, MuJoCo, Brax, Isaac Lab), LLM-RL with PPO/GRPO/TRL, and the algorithm landscape (PPO, GRPO, SAC, Decision Transformer, MuZero, Diffusion Policy). We also visit Korean and Japanese RL research from KAIST/SNU/NCSOFT/Krafton to Preferred Networks and Sony AI. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) reinforcement-learningrllibstable-baselines-3tianshoucleanrlopenspielgymnasiumacmepufferlibpearl-metatorchrlenglish https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive.ja 2026年5月時点の強化学習(RL)エコシステムを端から端まで見渡す。汎用RLライブラリ(RLlib, Stable-Baselines3, Tianshou, CleanRL, TorchRL, PFRL, TF-Agents)、DeepMindスタック(OpenSpiel, Acme, Haiku/RLax/Distrax)、Meta Pearl、環境標準(Gymnasium, PettingZoo, ALE, MuJoCo, Brax, Isaac Lab)、LLM-RLのPPO/GRPO/TRL、アルゴリズム地形(PPO, GRPO, SAC, Decision Transformer, MuZero, Diffusion Policy)を1本にまとめる。KAIST/SNU/NCSOFT/KraftonとPreferred Networks/Sony AIといった韓国・日本の研究も合わせて押さえる。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) reinforcement-learningrllibstable-baselines-3tianshoucleanrlopenspielgymnasiumacmepufferlibpearl-metatorchrl日本語 https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-modern-reinforcement-learning-ecosystems-2026-rllib-stable-baselines-3-tianshou-cleanrl-openspiel-gymnasium-acme-pufferlib-deep-dive 2026년 5월 기준 강화학습(RL) 생태계를 처음부터 끝까지 본다. 범용 RL 라이브러리(RLlib, Stable-Baselines3, Tianshou, CleanRL, TorchRL, PFRL, TF-Agents), DeepMind 스택(OpenSpiel, Acme, Haiku/RLax/Distrax), Meta Pearl, 환경 표준(Gymnasium, PettingZoo, ALE, MuJoCo, Brax, Isaac Lab), LLM-RL의 PPO/GRPO/TRL, 그리고 알고리즘 지형(PPO, GRPO, SAC, Decision Transformer, MuZero, Diffusion Policy)까지 한 글에서 정리한다. KAIST/SNU/NCSOFT/Krafton과 Preferred Networks/Sony AI 같은 한국·일본 연구도 함께 본다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) reinforcement-learningrllibstable-baselines-3tianshoucleanrlopenspielgymnasiumacmepufferlibpearl-metatorchrl