Research
Delta-I Lab
PI：Tonghan WANG
Research Direction: AI Economics, Generative Model Economics, Multi-Agent, Reinforcement Learning
Research Group Introduction
The research group is dedicated to investigating the relational challenges between humans and AI that emerge as society transitions toward human–AI coexistence—including new AI economics, whether such relationships admit formal safety guarantees, and underlying AI decision-making problems.
Current research topics include:
1. Generative advertising
2. Human–AI game theory
3. Deep learning methods for microeconomic problems with provable guarantees
4. Reinforcement learning, especially muscle-synergy coordination for embodied agents
Representative Publications
1. “BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization,” Tonghan Wang, Yanchen Jiang, David C. Parkes. NeurIPS 2025.
2. “On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow,” Tonghan Wang*, Heng Dong*, Yanchen Jiang, David C. Parkes, Milind Tambe. AAMAS 2025 Oral.
3. “GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning,” Tonghan Wang*, Yanchen Jiang*, David C. Parkes. ACM EC 2024.
4. “Deep Contract Design via Discontinuous Networks,” Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes. NeurIPS 2023.
5. “Low-Rank Modular Reinforcement Learning via Muscle Synergy,” Heng Dong*, Tonghan Wang*, Jiayuan Liu, Chongjie Zhang. NeurIPS 2022.
6. “Non-Linear Coordination Graphs,” Yipeng Kang*, Tonghan Wang*, Qianlan Yang*, Xiaoran Wu, Chongjie Zhang. NeurIPS 2022 Spotlight.
7. “RODE: Learning Roles to Decompose Multi-Agent Tasks,” Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang. ICLR 2021.
8. “ROMA: Multi-Agent Reinforcement Learning with Emergent Roles,” Tonghan Wang, Heng Dong, Victor Lesser, Chongjie Zhang. ICML 2020.
Group Culture & Mentorship Philosophy
Be bold to seek, to seek the unknown, to follow it to the furthest edge.
Contact information
We are continually seeking outstanding Ph.D. students and research interns who are self-driven and genuinely passionate about research. If our research directions align with your interests, please contact me at twang1@g.harvard.edu.Including a CV, a transcript, a brief description of a research project or problem you have worked on, and a short note explaining which of our research problems interest you the most and why will help me know you better.