Yuqian Fu

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy

Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning