3 papers
cs.AI2026
Rethinking the Design of Reinforcement Learning-Based Deep Research Agents
Yi Wan, Jiuqi Wang, Liam Li +3
Large language models (LLMs) augmented with external tools are increasingly deployed as deep research agents that gather, reason over, and synthesize web information to answer comp…
cs.AI2026
Closing Reasoning Gaps in Clinical Agents with Differential Reasoning Learning
Jinsong Liu, Yuhang Jiang, Ramayya Krishnan +3
Clinical decision support requires not only correct answers but also clinically valid reasoning. We propose Differential Reasoning Learning (DRL), a framework that improves clinica…
cs.AI2025
Deep Reinforcement Learning Xiangqi Player with Monte Carlo Tree Search
Berk Yilmaz, Junyu Hu, Jinsong Liu
This paper presents a Deep Reinforcement Learning (DRL) system for Xiangqi (Chinese Chess) that integrates neural networks with Monte Carlo Tree Search (MCTS) to enable strategic s…