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Multi-agent Databases via Independent Learning



Chi Zhang , Olga Papaemmanouil , Josiah Hanna


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Decoupling Exploration and Exploitation in Reinforcement Learning



Lukas Schäfer , Filippos Christianos , Josiah Hanna , Stefano V. Albrecht

* Unsupervised Reinforcement Learning (URL) Workshop in the 38th International Conference on Machine Learning (ICML), 2021 

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Reducing Sampling Error in Batch Temporal Difference Learning



Brahma Pavse , Ishan Durugkar , Josiah Hanna , Peter Stone

* Accepted to International Conference on Machine Learning (ICML) 2020 

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An Imitation from Observation Approach to Sim-to-Real Transfer



Siddarth Desai , Ishan Durugkar , Haresh Karnan , Garrett Warnell , Josiah Hanna , Peter Stone


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Learning an Interpretable Traffic Signal Control Policy



James Ault , Josiah Hanna , Guni Sharon


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Importance Sampling Policy Evaluation with an Estimated Behavior Policy



Josiah Hanna , Scott Niekum , Peter Stone


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Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes



Patrice Perny , Paul Weng , Judy Goldsmith , Josiah Hanna

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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