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cs.LG2026
Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning
Zhao Yang, Yuxuan Jiang, Ting-Chih Chen +18
Reinforcement learning (RL) has become central to LLM post-training, yet the methods that dominate current pipelines, PPO and GRPO, represent only a narrow slice of what RL offers.…
cs.LG2024★ 1 cited
RoboMorph: Evolving Robot Morphology using Large Language Models
Kevin Qiu, Władysław Pałucki, Krzysztof Ciebiera +3
We introduce RoboMorph, an automated approach for generating and optimizing modular robot designs using large language models (LLMs) and evolutionary algorithms. Each robot design…