Bowen Fang
Ph.D. Student at Columbia University.
Ph.D. Student
School of Engineering and Applied Science
Columbia University
I am a Ph.D. student at Columbia University’s School of Engineering and Applied Science, where my research focuses on Reinforcement Learning and Autonomous Driving.
I hold an M.S. in Operations Research from Columbia University and a Bachelor in Big Data Management and Applications, minor in Economics from Peking University.
This website serves as a central hub for my publications, projects, and professional activities.
news
| May 27, 2025 | I will be starting my Applied Scientist Internship at AWS this summer! |
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| May 20, 2025 | I am honored to be a winner of the CS3 VALIDATE Accelerator program, which will provide continued funding for our work SINA. |
| Mar 06, 2025 | Our paper, Efficient Consistency Model Training for Policy Distillation in Reinforcement Learning, was accepted to the ICLR 2025 DeLTa Workshop as a poster presentation. |
| Aug 01, 2024 | I am excited to begin my Ph.D. studies at Columbia University. |
| Feb 12, 2024 | Our paper, SLAMuZero: Plan and learn to Map for Joint SLAM and Navigation, was accepted to ICAPS 2024. |
latest posts
| Oct 29, 2023 | Some Recent Advancement Around MuZero |
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| Jun 20, 2023 | MPC with a Differentiable Forward Model: An Implementation with Jax |
| May 12, 2023 | Adding MuZero into RL Toolkits at Ease |
selected publications
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Efficient Consistency Model Training for Policy Distillation in Reinforcement LearningIn ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, 2025 -
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman ProblemarXiv preprint arXiv:2404.11458, 2024 - TraveLLM: Could you plan my new public transit route in face of a network disruption?arXiv preprint arXiv:2407.14926, 2024
