Zun Li

Orcid: 0000-0003-1748-0883

Affiliations:
  • Google DeepMind, USA
  • University of Michigan, Ann Arbor, MI, USA (former)
  • Shanghai Jiao Tong University, China (former)


According to our database1, Zun Li authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange.
IEEE Trans. Mob. Comput., April, 2023

Evaluating Agents using Social Choice Theory.
CoRR, 2023

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.
CoRR, 2023

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Solving structured hierarchical games using differential backward induction.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
A Game-Theoretic Approach for Hierarchical Policy-Making.
CoRR, 2021

Evolution Strategies for Approximate Solution of Bayesian Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Structure Learning for Approximate Solution of Many-Player Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bounding Regret in Empirical Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
On Designing Optimal Data Purchasing Strategies for Online Ad Auctions.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


  Loading...