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Environment Design for Inverse Reinforcement Learning


Oct 26, 2022
Thomas Kleine Buening, Christos Dimitrakakis

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Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty


Mar 18, 2022
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

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* 5 pages, 1 figure, 2 tables 

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Interactive Inverse Reinforcement Learning for Cooperative Games


Nov 08, 2021
Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis

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High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling


Apr 23, 2021
Hannes Eriksson, Christos Dimitrakakis, Lars Carlsson

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* 14 pages, 6 figures 

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Adaptive Belief Discretization for POMDP Planning


Apr 15, 2021
Divya Grover, Christos Dimitrakakis

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Fair Set Selection: Meritocracy and Social Welfare


Feb 23, 2021
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis

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SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning


Feb 22, 2021
Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

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* 17 pages, 6 figures 

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Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions


Feb 08, 2020
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu

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* 18 pages, 6 figures 

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Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process


Jul 09, 2019
Aristide Tossou, Christos Dimitrakakis, Debabrota Basu

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* Improved the text and added detailed proofs of claims Change title to better express the solution proposed 

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Near-optimal Reinforcement Learning using Bayesian Quantiles


Jun 20, 2019
Aristide Tossou, Debabrota Basu, Christos Dimitrakakis

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* arXiv admin note: substantial text overlap with arXiv:1905.12425 

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