Learning Parameterized Families of Games
M Gatchel and B Wiedenbeck
22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), June 2023 (Forthcoming).
Abstract
To understand the impact of parameters in strategic environments, typical game-theoretic analysis…
Empirical Game-Theoretic Analysis for Mean Field Games
Y Wang and MP Wellman
22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), June 2023 (Forthcoming).
Abstract
We present a simulation-based approach for solution of mean field games (MFGs), using the framework…
Christine Konicki defends dissertation proposal
On October 17, 2022, Christine Konicki presented and successfully defended her dissertation proposal titled "A Tree-Exploiting Approach to Empirical Game-Theoretic Analysis for Extensive-Form Games."
The dissertation committee comprises:
…
Solving Structured Hierarchical Games Using Differential Backward Induction
Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, and Y Vorobeychik
38th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180: pp. 1107–1117, August 2022
Previous version presented at ICLR Workshop on Gamification…
Yongzhao Wang defends dissertation proposal
On 10 May 2022, Yongzhao Wang presented and successfully defended his dissertation proposal titled "Multi-agent Learning by Iterative Refinement of Game Models."
The dissertation committee comprises:
Michael Wellman [chair]
Tilman…
Zun Li defends dissertation proposal
On 27 April 2022, Zun Li presented and successfully defended his dissertation proposal titled "A Modern AI Approach to Strategic Reasoning over Complex Multiagent Systems".
The dissertation committee comprises:
Michael Wellman [chair]
…
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
Y Wang, Q Ma and MP Wellman
21st International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pages 1346—1354, May 2022.
Abstract
In empirical game-theoretic analysis (EGTA), game models are extended iteratively through…
Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets
B Martin, S Kutty, and M Chakraborty
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 41, pages 1–9, November 2021.
Abstract
Prediction markets are incentive-based mechanisms for eliciting and combining the diffused,…
Building Action Sets in a Deep Reinforcement Learner
Y Wang, A Sinha, S CH-Wang, and MP Wellman
20th IEEE International Conference on Machine Learning and Applications (ICMLA-21), pages 484–489, December 2021.
Abstract
In many policy-learning applications, the agent may execute a set of actions…
