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Safety Guarantees in Multi-agent Learning via Trapping Regions


Feb 27, 2023
Aleksander Czechowski, Frans A. Oliehoek

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Uncoupled Learning of Differential Stackelberg Equilibria with Commitments


Feb 07, 2023
Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek

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An Analysis of Abstracted Model-Based Reinforcement Learning


Aug 30, 2022
Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek

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* 26 pages, 2 figures, submitted to NeurIPS 2022 

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Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems


Jul 01, 2022
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek

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On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games


Jun 20, 2022
Robert Loftin, Frans A. Oliehoek

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* 9 pages, to be published in The Proceedings of the 39th International Conference on Machine Learning, 2022 

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Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs


Apr 03, 2022
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski

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* This paper is presented in part at the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2022 

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BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs


Feb 17, 2022
Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato

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Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems


Feb 03, 2022
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek

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Online Planning in POMDPs with Self-Improving Simulators


Jan 27, 2022
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek

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MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning


Dec 30, 2021
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano C. Siebert

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