Scholar
Chenyang Wu
Google Scholar ID: r-MXTJgAAAAJ
Ph.D. Candidate, LAMDA, Nanjing University
Citations & Impact
Citations
92
H-index
5
i10-index
4
Publications
9
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Selected Publications: 'Surfing Information: The Challenge of Intelligent Decision-Making', 'Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning', 'Adaptive Online Packing-guided Search for POMDPs'. Awards & Honors: Outstanding Master's Graduate Award (2023), Outstanding Master's Thesis Award (2023), Tencent Scholarship (2022), National Scholarship (2021), Outstanding Model Graduate Student Award (2021). Patent: Partially Observable Driving Planning Method Based on Adaptive Particle Filter and Belief Packing.
Research Experience
- Conducting research at the LAMDA Group, Nanjing University, focusing on reinforcement learning, agent-based modeling, and evolutionary computation.
Education
- Ph.D. Candidate at the School of Artificial Intelligence, Nanjing University, LAMDA Group, supervised by Associate Prof. Zongzhang Zhang; M.Sc. degree in June 2023 from the School of Artificial Intelligence, Nanjing University, honored with the 'Outstanding Graduate' award; B.Eng. degree in June 2019 from the School of Chemistry and Chemical Engineering, Southeast University.
Background
- Research Interests: Intelligent Decision-Making, focusing on building agents capable of making real-world decisions intelligently as humans. Specific challenges include online learning from non-IID data streams, efficient reasoning with limited resources, and balancing between exploration and exploitation.
Miscellany
- Academic Services: Reviewer in the AAAI, NeurIPS, ICLR, ICML, IJCAI, and Neurocomputing.
Co-authors