Shlomo Zilberstein

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 105

Top Venues

Publications

Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
Ethically Compliant Autonomous Systems under Partial Observability. ICRA (2024)
Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein
Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. ICRA (2024)
Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. FLAIRS (2024)
Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. AAMAS (2024)
Saaduddin Mahmud, Marcell Vazquez-Chanlatte, Stefan J. Witwicki, Shlomo Zilberstein
Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information. AAMAS (2024)
Shuwa Miura, Shlomo Zilberstein
Observer-Aware Planning with Implicit and Explicit Communication. AAMAS (2024)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Competence-aware systems. Artif. Intell. 316 (2023)
Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein
. CoRR (2023)
Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, Shlomo Zilberstein
Estimating Causal Responsibility for Explaining Autonomous Behavior. EXTRAAMAS (2023)
Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
Formal Composition of Robotic Systems as Contract Programs. IROS (2023)
Connor Basich, Saaduddin Mahmud, Shlomo Zilberstein
Learning Constraints on Autonomous Behavior from Proactive Feedback. IROS (2023)
Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
Causal Explanations for Sequential Decision Making Under Uncertainty. AAMAS (2023)
Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein
Semi-Autonomous Systems with Contextual Competence Awareness. AAMAS (2023)
Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein
Explanation-Guided Reward Alignment. IJCAI (2023)
Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein
REVEALE: Reward Verification and Learning Using Explanations. SafeAI@AAAI (2023)
Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. AAAI (2023)
Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein
Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS (2022)
Emily Pruc, Shlomo Zilberstein, Joydeep Biswas
Dense Crowd Flow-Informed Path Planning. CoRR (2022)
John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein
Trajectory Constraint Heuristics for Optimal Probabilistic Planning. SOCS (2022)
Samer B. Nashed, Shlomo Zilberstein
A Survey of Opponent Modeling in Adversarial Domains. J. Artif. Intell. Res. 73 (2022)
Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
A Unifying Framework for Causal Explanation of Sequential Decision Making. CoRR (2022)
Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS (2022)
Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein
Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS (2022)
Connor Basich, John R. Peterson, Shlomo Zilberstein
Planning with Intermittent State Observability: Knowing When to Act Blind. IROS (2022)
Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein
Metareasoning for Safe Decision Making in Autonomous Systems. ICRA (2022)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. 74 (2022)
Connor Basich, Joseph A. Russino, Steve Chien, Shlomo Zilberstein
A Sampling Based Approach to Robust Planning for a Planetary Lander. IROS (2022)
Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. 7 (2) (2022)
Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL. CoRR (2022)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Learning to Generate Fair Clusters from Demonstrations. AIES (2021)
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. 42 (4) (2021)
Shuwa Miura, Andrew L. Cohen, Shlomo Zilberstein
Maximizing Legibility in Stochastic Environments. RO-MAN (2021)
Sandhya Saisubramanian, Shlomo Zilberstein
Mitigating Negative Side Effects via Environment Shaping. CoRR (2021)
Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS (2021)
Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
Improving Competence via Iterative State Space Refinement. IROS (2021)
Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
Competence-Aware Path Planning via Introspective Perception. CoRR (2021)
Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein
Ethically Compliant Planning within Moral Communities. AIES (2021)
Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
Agent-aware State Estimation in Autonomous Vehicles. CoRR (2021)
Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein
Solving Markov Decision Processes with Partial State Abstractions. ICRA (2021)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Learning to Generate Fair Clusters from Demonstrations. CoRR (2021)
Shuwa Miura, Shlomo Zilberstein
A unifying framework for observer-aware planning and its complexity. UAI (2021)
Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
Agent-Aware State Estimation in Autonomous Vehicles. IROS (2021)
Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein
Understanding User Attitudes Towards Negative Side Effects of AI Systems. CHI Extended Abstracts (2021)
Sandhya Saisubramanian, Shlomo Zilberstein
Mitigating Negative Side Effects via Environment Shaping. AAMAS (2021)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Ethically Compliant Sequential Decision Making. AAAI (2021)
Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein
Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. ECAI (2020)
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR (2020)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR (2020)
Aritra Ghosh, Beverly Park Woolf, Shlomo Zilberstein, Andrew S. Lan
Skill-based Career Path Modeling and Recommendation. IEEE BigData (2020)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS (2020)
Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
Multi-agent Planning with High-Level Human Guidance. PRIMA (2020)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI (2020)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
An Integrated Approach to Moral Autonomous Systems. ECAI (2020)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI (2020)
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS (2020)
Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR (2020)
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Balancing the Tradeoff Between Clustering Value and Interpretability. AIES (2020)
Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein
A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA (2020)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
Improving Competence for Reliable Autonomy. AREA@ECAI (2020)
Shuwa Miura, Shlomo Zilberstein
Maximizing Plan Legibility in Stochastic Environments. AAMAS (2020)
Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR (2019)
Sandhya Saisubramanian, Connor Basich, Shlomo Zilberstein, Claudia V. Goldman
Satisfying Social Preferences in Ridesharing Services. ITSC (2019)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Efficient Heuristic Search for Optimal Environment Redesign. ICAPS (2019)
Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
Stochastic multi-agent planning with partial state models. DAI (2019)
Kyle Hollins Wray, Shlomo Zilberstein
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS (2019)
Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Belief Space Metareasoning for Exception Recovery. IROS (2019)
Sandhya Saisubramanian, Shlomo Zilberstein
Minimizing the Negative Side Effects of Planning with Reduced Models. SafeAI@AAAI (2019)
Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard G. Freedman, John E. Laird, Christian Lebiere, Katrin S. Lohan, Ross Mead, Mark Roberts, Paul S. Rosenbloom, Emmanuel Senft, Frank Stein, Tom Williams, Kyle Hollins Wray, Fusun Yaman, Shlomo Zilberstein
Reports of the 2018 AAAI Fall Symposium. AI Mag. 40 (2) (2019)
Sandhya Saisubramanian, Shlomo Zilberstein
Minimizing the Negative Side Effects of Planning with Reduced Models. CoRR (2019)
Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
Planning in Stochastic Environments with Goal Uncertainty. IROS (2019)
Kyle Hollins Wray, Shlomo Zilberstein
Generalized Controllers in POMDP Decision-Making. ICRA (2019)
Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein
Responsive Planning and Recognition for Closed-Loop Interaction. CoRR (2019)
Abhishek Dwaraki, Richard G. Freedman, Shlomo Zilberstein, Tilman Wolf
Using Natural Language Constructs and Concepts to Aid Network Management. ICNC (2019)
Sandhya Saisubramanian, Shlomo Zilberstein
Adaptive Outcome Selection for Planning with Reduced Models. IROS (2019)
Luis Enrique Pineda, Shlomo Zilberstein
Probabilistic Planning with Reduced Models. J. Artif. Intell. Res. 65 (2019)
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
Lexicographically Ordered Multi-Objective Clustering. CoRR (2019)
Luis Enrique Pineda, Shlomo Zilberstein
Soft Labeling in Stochastic Shortest Path Problems. AAMAS (2019)
Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein
Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI (2018)
Richard Gabriel Freedman, Shlomo Zilberstein
Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. AAAI Workshops (2018)
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
Privacy-Preserving Policy Iteration for Decentralized POMDPs. AAAI (2018)
Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. AAAI Workshops (2018)
Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
Planning in Stochastic Environments with Goal Uncertainty. CoRR (2018)
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI (2018)
Sandhya Saisubramanian, Shlomo Zilberstein, Prashant J. Shenoy
Planning Using a Portfolio of Reduced Models. AAMAS (2018)
Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein
An Anytime Algorithm for Task and Motion MDPs. CoRR (2018)
Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein
Redesigning Stochastic Environments for Maximized Utility. AAAI (2017)
Kyle Hollins Wray, Shlomo Zilberstein
Approximating reachable belief points in POMDPs. IROS (2017)
Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein
Fast SSP Solvers Using Short-Sighted Labeling. AAAI (2017)
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
Multi-Agent Planning with Baseline Regret Minimization. IJCAI (2017)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI (2017)
Luis Enrique Pineda, Shlomo Zilberstein
Generalizing the Role of Determinization in Probabilistic Planning. CoRR (2017)
Richard G. Freedman, Shlomo Zilberstein
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. AAAI (2017)
Richard G. Freedman, Shlomo Zilberstein
Does the Human's Representation Matter for Unsupervised Activity Recognition? AAAI Fall Symposia (2017)
XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
Robust Optimization for Tree-Structured Stochastic Network Design. AAAI (2017)
Haochong Zhang, Rongyun Cao, Shlomo Zilberstein, Feng Wu, Xiaoping Chen
Toward Effective Soft Robot Control via Reinforcement Learning. ICIRA (1) (2017)
Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops (2017)
Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
Online Decision-Making for Scalable Autonomous Systems. IJCAI (2017)
XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
Robust Optimization for Tree-Structured Stochastic Network Design. CoRR (2016)
Kyle Hollins Wray, Shlomo Zilberstein
A POMDP Formulation of Proactive Learning. AAAI (2016)
Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shlomo Zilberstein