Scholar

Zihan Ding

Google Scholar ID: t5DgPBAAAAAJ

Princeton University

Reinforcement LearningMultimodal ModelsRoboticsMachine Learning

Citations & Impact

All-time

Citations

1,371

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

- Publications: 'LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra' and more
- Books: Co-author of 'Deep Reinforcement Learning: Fundamentals, Research and Applications', Author of Chapter: 'Reinforcement Learning System' in 'Machine Learning System: Design and Implementation'

Research Experience

Education

- Ph.D. candidate at the Electrical and Computer Engineering Department, Princeton University, supervised by Chi Jin
- MSc in Machine Learning from Imperial College London, Fall 2019, thesis project supervised by Dr. Edward Johns
- Bachelor degrees from the University of Science and Technology of China, 2018, majoring in Photoelectric Information Science and Engineering (Physics Dept., Bachelor of Science) and dual-majoring in Computer Science and Technology (CS Dept., Bachelor of Engineering), bachelor thesis supervised by Dr. Jinming Cui and Prof. Yunfeng Huang

Background

Research Interests: Artificial General Intelligence with long-term planning capabilities, sequential decision-making problems, and expressive models with generalization. Focus areas include deep reinforcement learning (deep RL) in single-agent or multi-agent scenarios, expressive diffusion generative models, foundation multi-modal models, and learning-based methods for robotics with generalization capability.

Miscellany