Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative
Systems

Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems

Adaptive Agents and Multi-Agent Systems (AAMAS), 2019

30 January 2019

Sergio Valcarcel Macua

Enrique Munoz de Cote

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Papers citing "Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems"

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Title
Learning to Control Unknown Strongly Monotone Games Siddharth Chandak Ilai Bistritz Nicholas Bambos 252 4 0 30 Jun 2024
Incentive Engineering for Concurrent GamesTheoretical Aspects of Rationality and Knowledge (TARK), 2023 David Hyland Julian Gutierrez Michael Wooldridge 70 2 0 11 Jul 2023
Equilibrium Bandits: Learning Optimal Equilibria of Unknown DynamicsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Siddharth Chandak Ilai Bistritz Nicholas Bambos 228 4 0 27 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium ConstraintsInternational Conference on Machine Learning (ICML), 2023 Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 226 7 0 20 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent SystemsInternational Conference on Machine Learning (ICML), 2023 D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Alexander Shmakov Feifei Tong Jun Wang Yaodong Yang 172 3 0 12 Feb 2023
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 310 4 0 07 Oct 2022
Learning to Mitigate AI Collusion on Economic PlatformsNeural Information Processing Systems (NeurIPS), 2022 Gianluca Brero N. Lepore Eric Mibuari David C. Parkes 237 16 0 15 Feb 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 154 22 0 20 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent LearningInternational Conference on Learning Representations (ICLR), 2021 D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 252 19 0 05 Dec 2021
Partially Observable Mean Field Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 178 31 0 31 Dec 2020
End-to-End Learning and Intervention in GamesNeural Information Processing Systems (NeurIPS), 2020 Jiayang Li Jiahao Yu Y. Nie Zhaoran Wang 151 39 0 26 Oct 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 160 150 0 28 Apr 2020
Should I tear down this wall? Optimizing social metrics by evaluating novel actions János Kramár Neil C. Rabinowitz Tom Eccles Andrea Tacchetti 114 6 0 16 Apr 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement LearningTransportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020 Zhenyu Shou Xuan Di 173 64 0 17 Feb 2020