Yuchen Hou
hou.yuchen@northeastern.edu.
Boston, MA
Some things are too important to be taken seriously.
I am a first-year Ph.D. student at Northeastern University, advised by Prof. Imani Mahdi. I am broadly interested in reinforcement learning and reasoning under uncertainty — how can agents learn to make good decisions when the world doesn’t give them the full picture? Before coming to Boston, I earned my B.S. in Artificial Intelligence from Shanghai Jiao Tong University (SJTU), where I worked with Prof. Siheng Chen and Prof. Wenguang Shao.
news
| Jul 07, 2026 | I became an Authorized Mentor for the NSF CISE REU Program, mentoring undergraduate researcher Raymond Xu under Prof. Mahdi Imani. |
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| Jul 01, 2026 | Our paper Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation is accpected to The Conference on Uncertainty in Artificial Intelligence (UAI) 2026. |
| May 01, 2026 | Our paper FedQHD: Closed-Form Function-Space Federated Reinforcement Learning is now available on arXiv. |
| Jan 01, 2026 | Our paper AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios is now available on arXiv. |
| Dec 15, 2025 | Our paper GNNs as Predictors of Agentic Workflow Performances is accepted on Learning on Graphs Conference 2025. |
