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Shlomo Zilberstein

University of Massachuetts Amherst

Mitigating Negative Side Effects via Environment Shaping


Feb 13, 2021
Sandhya Saisubramanian, Shlomo Zilberstein

* 9 pages 

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Learning to Generate Fair Clusters from Demonstrations


Feb 08, 2021
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein


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Helpfulness as a Key Metric of Human-Robot Collaboration


Oct 10, 2020
Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein

* Accepted for presentation at the AAAI 2020 Fall Symposium Series, in the symposium for Artificial Intelligence for Human-Robot Interaction: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction 

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Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems


Aug 28, 2020
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar

* 8 pages 

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Improving Competence for Reliable Autonomy


Jul 23, 2020
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein

* EPTCS 319, 2020, pp. 37-53 
* In Proceedings AREA 2020, arXiv:2007.11260 

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Learning to Optimize Autonomy in Competence-Aware Systems


Mar 17, 2020
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan Witwicki, Joydeep Biswas, Shlomo Zilberstein

* To be published in Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). 9 pages 

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Balancing the Tradeoff Between Clustering Value and Interpretability


Jan 31, 2020
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein

* Accepted at AIES 2020 

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Responsive Planning and Recognition for Closed-Loop Interaction


Sep 13, 2019
Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein

* Accepted for presentation at the AAAI 2019 Fall Symposium Series, in the symposium for Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments 

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Minimizing the Negative Side Effects of Planning with Reduced Models


May 22, 2019
Sandhya Saisubramanian, Shlomo Zilberstein

* AAAI Workshop on Artificial Intelligence Safety (2019) 

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Lexicographically Ordered Multi-Objective Clustering


Mar 02, 2019
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein


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Planning in Stochastic Environments with Goal Uncertainty


Oct 18, 2018
Sandhya Saisubramanian, Kyle Hollins Wray, Luis Pineda, Shlomo Zilberstein

* 8 pages, 5 figures 

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An Anytime Algorithm for Task and Motion MDPs


Feb 16, 2018
Siddharth Srivastava, Nishant Desai, Richard Freedman, Shlomo Zilberstein

* 7 pages, 4 figures 

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Generalizing the Role of Determinization in Probabilistic Planning


Jul 29, 2017
Luis Pineda, Shlomo Zilberstein


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Robust Optimization for Tree-Structured Stochastic Network Design


Dec 01, 2016
Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein

* AAAI 2017 

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A Bilinear Programming Approach for Multiagent Planning


Jan 15, 2014
Marek Petrik, Shlomo Zilberstein

* Journal Of Artificial Intelligence Research, Volume 35, pages 235-274, 2009 

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Policy Iteration for Decentralized Control of Markov Decision Processes


Jan 15, 2014
Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein

* Journal Of Artificial Intelligence Research, Volume 34, pages 89-132, 2009 

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The Complexity of Decentralized Control of Markov Decision Processes


Jan 16, 2013
Daniel S Bernstein, Shlomo Zilberstein, Neil Immerman

* Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000) 

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Symbolic Generalization for On-line Planning


Oct 19, 2012
Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Region-Based Incremental Pruning for POMDPs


Jul 11, 2012
Zhengzhu Feng, Shlomo Zilberstein

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs


Jul 04, 2012
Daniel Szer, Francois Charpillet, Shlomo Zilberstein

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs


Jun 20, 2012
Sven Seuken, Shlomo Zilberstein

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Optimizing Memory-Bounded Controllers for Decentralized POMDPs


Jun 20, 2012
Christopher Amato, Daniel S Bernstein, Shlomo Zilberstein

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Anytime Planning for Decentralized POMDPs using Expectation Maximization


Mar 15, 2012
Akshat Kumar, Shlomo Zilberstein

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Rollout Sampling Policy Iteration for Decentralized POMDPs


Mar 15, 2012
Feng Wu, Shlomo Zilberstein, Xiaoping Chen

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation


Feb 14, 2012
Akshat Kumar, Shlomo Zilberstein


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Communication-Based Decomposition Mechanisms for Decentralized MDPs


Oct 31, 2011
Claudia V. Goldman, Shlomo Zilberstein

* Journal Of Artificial Intelligence Research, Volume 32, pages 169-202, 2008 

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Global Optimization for Value Function Approximation


Jun 14, 2010
Marek Petrik, Shlomo Zilberstein


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