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Multi-learner risk reduction under endogenous participation dynamics


Jun 06, 2022
Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel

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General sum stochastic games with networked information flows


May 05, 2022
Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar

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* 10 pages, 5 figures, Gamification and Multiagent solutions Workshop (ICLR 2022) 

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Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments


Apr 08, 2022
Mitas Ray, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

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* Accepted at AAAI 2022 

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Multiplayer Performative Prediction: Learning in Decision-Dependent Games


Jan 10, 2022
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

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Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms


Sep 25, 2021
Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

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Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions


Jun 30, 2021
Roy Dong, Lillian J. Ratliff

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Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization


Jun 16, 2021
Chinmay Maheshwari, Chih-Yuan Chiu, Eric Mazumdar, S. Shankar Sastry, Lillian J. Ratliff

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* 32 pages, 5 figures 

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Minimax Optimization with Smooth Algorithmic Adversaries


Jun 02, 2021
Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff

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Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs


Dec 23, 2020
Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel

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Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks


Mar 20, 2020
Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang

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