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cs.LG2024★ 1 cited
CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
Chen Yang, Chenyang Zhao, Quanquan Gu +1
Sequential reasoning in agent systems has been significantly advanced by large language models (LLMs), yet existing approaches face limitations. Reflection-driven reasoning relies…
cs.LG2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
Junkai Zhang, Weitong Zhang, Dongruo Zhou +1
Mastering multiple tasks through exploration and learning in an environment poses a significant challenge in reinforcement learning (RL). Unsupervised RL has been introduced to add…
cs.LG2024
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di, Jiafan He, Dongruo Zhou +1
We study the Stochastic Shortest Path (SSP) problem with a linear mixture transition kernel, where an agent repeatedly interacts with a stochastic environment and seeks to reach ce…