Publications

• Generative Adversarial Inverse Multiagent Learning.

Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh.

To appear in proceedings of the International Conference on Learning Representations (ICLR'24).

(Spotlight Talk)

• Tâtonnement in Homothetic Fisher Markets.

Denizalp Goktas, Sadie Zhao, and Amy Greenwald.

Proceedings of the 24th ACM Conference on Economics and Computation (EC'23).

• Fisher Markets with Social Influence.

Sadie Zhao, Denizalp Goktas, Amy Greenwald.

Proceedings of the Conference of the Association for the Advancement of Artificial Intelligence (AAAI'23).

(Oral Presentation AAAI'23)

• Zero-Sum Stochastic Stackelberg Games.

Denizalp Goktas, Sadie Zhao, Amy Greenwald.

Appeared in the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM'22).

Appeared in the ICLR Gamification and Multiagent Solutions Workshop (ICLR'22).

Proceedings of the Conference on Neural Information Processing Systems (NeurIPS'22).

• Robust No-Regret Learning in Min-Max Stackelberg Games.

Denizalp Goktas, Sadie Zhao, Amy Greenwald.

Appeared in the AAAI'22 Workshop on Adversarial Machine Learning and Beyond.

Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems 2022 (AAMAS'22).

• The Gopher Grounds: Testing the Link Between Structure and Function in Simple Machines.

Anshul Kamath, Sadie Zhao, Nick Grisanti, George D Montañez.

Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART'22)

• Generating the Gopher’s Grounds: Form, Function, Order, and Alignment.

Sadie Zhao, Anshul Kamath, Nick Grisanti, George D Montañez.

Agents and Artificial Intelligence. ICAART 2022. Lecture Notes in Computer Science, vol 13786. Springer, Cham. 

Notes

Coming Soon...