Multi-Agent Systems and AI

2021
Paul Tylkin, Goran Radanovic, and David C. Parkes. 2021. “Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.” In Proc. 20th Int. Conf. on Auton. Agents and Multiagent Systems (AAMAS), Pp. 1686-1688 .
Hongyao Ma, Reshef Meir, David C. Parkes, and Elena Wu-Yan. 2021. “Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias”.
David Parkes. 2021. “Playing with symmetry with neural networks.” Nature Machine Intelligence .
Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, and Max Kleiman-Weiner. 2021. “Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration.” Topics Cognitive Science , 13, 2, Pp. 2032-2034.
2020
Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, and Max Kleiman-Weiner. 2020. “Too many cooks: Coordinating multi-agent collaboration through inverse planning.” In Proc. 42nd Annual Meeting of the Cognitive Science Society, Pp. 889-895 .
Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, and Barbara Grosz. 2020. “Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents.” In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI-2020).
Nir Rosenfeld, Aron Szanto, and David C. Parkes. 2020. “A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone.” In Proceedings of the 29th World Wide Web Conference (WWW 2020), Pp. 1018-1028.
Paul Tylkin, Goran Radanovic, and David C. Parkes. 2020. “Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.” In NeurIPS 2020 workshop on Cooperative AI.
Hongyao Ma, Reshef Meir, David C. Parkes, and Elena Wu-Yan. 2020. “Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias.” In , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Pp. 807-815.
Sarah Keren, Sara Bernardini, Kofi Kwapong, and David C. Parkes. 2020. “Reasoning about plan robustness versus plan cost for partially informed agents.” In Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, Pp. 550–559.
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, and Max Kleiman-Weiner. 2020. “Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning (Extended Abstract).” In Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), Pp. 2032-2034.
2019
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2019. “Contingent Payment Mechanisms for Resource Utilization.” In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Pp. 422-430.
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, and Joshua B. Tenenbaum. 2019. “Finding Friend and Foe in Multi-Agent Games.” In Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), Pp. 1249-1259.
Goran Radanovic, Rati Devidze, David Parkes, and Adish Singla. 2019. “Learning to Collaborate in Markov Decision Processes.” In Proceedings of the 36th International Conference on Machine Learning (ICML’19), Pp. 5261-5270.
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-Francois Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, and Michael Wellman. 2019. “Machine behaviour.” Nature, 568, Pp. 477-486.
2018
Reshef Meir and David C. Parkes. 2018. “Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents.” In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’18), Pp. 86-94.
2017
Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. “Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS’17), Pp. 5449-5458.
2016
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Kevin Leyton-Brown, David C. Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. 2016. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel.
Debmalya Mandal and David C. Parkes. 2016. “Correlated Voting.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 366-372.
Victor Shnayder, Rafael M. Frongillo, and David C. Parkes. 2016. “Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 2611-2617.

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