most citedLearning to Cooperate with Humans using Generative Agents

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cs.LG2025

Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian

Yiran Zhang, Weihang Xu, Mo Zhou +2

Score matching has become a central training objective in modern generative modeling, particularly in diffusion models, where it is used to learn high-dimensional data distribution…

cs.LG2025

Policy-Based Trajectory Clustering in Offline Reinforcement Learning

Hao Hu, Xinqi Wang, Simon Shaolei Du

We introduce a novel task of clustering trajectories from offline reinforcement learning (RL) datasets, where each cluster center represents the policy that generated its trajector…

cs.LG2025

Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs

Shulun Chen, Runlong Zhou, Zihan Zhang +2

We consider the gap-dependent regret bounds for episodic MDPs. We show that the Monotonic Value Propagation (MVP) algorithm achieves a variance-aware gap-dependent regret bound of…

cs.LG2025

LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Avinandan Bose, Zhihan Xiong, Yuejie Chi +3

Personalizing large language models (LLMs) to accommodate diverse user preferences is essential for enhancing alignment and user satisfaction. Traditional reinforcement learning fr…

cs.LG2025

A Minimalist Example of Edge-of-Stability and Progressive Sharpening

Liming Liu, Zixuan Zhang, Simon Du +1

Recent advances in deep learning optimization have unveiled two intriguing phenomena under large learning rates: Edge of Stability (EoS) and Progressive Sharpening (PS), challengin…

cs.LG2025

Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback

Runlong Zhou, Maryam Fazel, Simon S. Du

Reinforcement learning from human feedback (RLHF) has become essential for improving language model capabilities, but traditional approaches rely on the assumption that human prefe…