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cs.AI2025
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.AI2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks
Yi Wan, Dmytro Korenkevych, Zheqing Zhu
In reinforcement learning (RL), continuing tasks refer to tasks where the agent-environment interaction is ongoing and can not be broken down into episodes. These tasks are suitabl…