Shlomo Zilberstein

291 papers A* 85A 54B 5C 4Misc 5Journal 87Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Causal Explanations for Sequential Decision Making (Abstract Reprint). AAAI Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
2026	J	`jnl`	Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems. CoRR Mason Nakamura, Abhinav Kumar, Saswat Das, Sahar Abdelnabi, Saaduddin Mahmud, Ferdinando Fioretto, Shlomo Zilberstein, Eugene Bagdasarian
2026	A*	`conf`	Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models. AAAI Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein
2026	J	`jnl`	Persuasion Propagation in LLM Agents. CoRR Hyejun Jeong, Amir Houmansadr, Shlomo Zilberstein, Eugene Bagdasarian
2026	J	`jnl`	Verification Required: The Impact of Information Credibility on AI Persuasion. CoRR Saaduddin Mahmud, Eugene Bagdasarian, Shlomo Zilberstein
2025	J	`jnl`	Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models. CoRR Mason Nakamura, Saaduddin Mahmud, Kyle Hollins Wray, Hamed Zamani, Shlomo Zilberstein
2025	J	`jnl`	Causal Explanations for Sequential Decision Making. J. Artif. Intell. Res. Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
2025	J	`jnl`	Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models. CoRR Saaduddin Mahmud, Dorian Benhamou Goldfajn, Shlomo Zilberstein
2025	J	`jnl`	Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models. CoRR Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein
2025	A*	`conf`	MAPLE: A Framework for Active Preference Learning Guided by Large Language Models. AAAI Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein
2025	J	`jnl`	Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies. CoRR Mason Nakamura, Abhinav Kumar, Saaduddin Mahmud, Sahar Abdelnabi, Shlomo Zilberstein, Eugene Bagdasarian
2024	A	`conf`	Approximation Algorithms for Observer Aware MDPs. UAI Shuwa Miura, Olivier Buffet, Shlomo Zilberstein
2024	A*	`conf`	Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. ICRA Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein
2024	A*	`conf`	Ethically Compliant Autonomous Systems under Partial Observability. ICRA Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
2024	A	`conf`	Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information. AAMAS Saaduddin Mahmud, Marcell Vazquez-Chanlatte, Stefan J. Witwicki, Shlomo Zilberstein
2024	J	`jnl`	MAPLE: A Framework for Active Preference Learning Guided by Large Language Models. CoRR Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein
2024	A	`conf`	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. AAMAS Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
2024	Misc	`conf`	Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. FLAIRS Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein
2024	A	`conf`	Observer-Aware Planning with Implicit and Explicit Communication. AAMAS Shuwa Miura, Shlomo Zilberstein
2023	A	`conf`	Causal Explanations for Sequential Decision Making Under Uncertainty. AAMAS Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
2023	J	`jnl`	Competence-aware systems. Artif. Intell. Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2023	—	`conf`	Estimating Causal Responsibility for Explaining Autonomous Behavior. EXTRAAMAS Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, Shlomo Zilberstein
2023	A*	`conf`	Explanation-Guided Reward Alignment. IJCAI Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein
2023	A	`conf`	Formal Composition of Robotic Systems as Contract Programs. IROS Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
2023	A	`conf`	Learning Constraints on Autonomous Behavior from Proactive Feedback. IROS Connor Basich, Saaduddin Mahmud, Shlomo Zilberstein
2023	A*	`conf`	Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. AAAI Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein
2023	—	`conf`	REVEALE: Reward Verification and Learning Using Explanations. SafeAI@AAAI Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein
2023	J	`jnl`	RL CoRR Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein
2023	A	`conf`	Semi-Autonomous Systems with Contextual Competence Awareness. AAMAS Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein
2022	A	`conf`	A Sampling Based Approach to Robust Planning for a Planetary Lander. IROS Connor Basich, Joseph A. Russino, Steve A. Chien, Shlomo Zilberstein
2022	J	`jnl`	A Survey of Opponent Modeling in Adversarial Domains. J. Artif. Intell. Res. Samer B. Nashed, Shlomo Zilberstein
2022	J	`jnl`	A Unifying Framework for Causal Explanation of Sequential Decision Making. CoRR Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
2022	J	`jnl`	Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL. CoRR Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein
2022	J	`jnl`	Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2022	J	`jnl`	Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
2022	J	`jnl`	Dense Crowd Flow-Informed Path Planning. CoRR Emily Pruc, Shlomo Zilberstein, Joydeep Biswas
2022	B	`conf`	Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein
2022	A*	`conf`	Metareasoning for Safe Decision Making in Autonomous Systems. ICRA Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein
2022	A	`conf`	Planning with Intermittent State Observability: Knowing When to Act Blind. IROS Connor Basich, John R. Peterson, Shlomo Zilberstein
2022	A	`conf`	Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein
2022	B	`conf`	Trajectory Constraint Heuristics for Optimal Probabilistic Planning. SOCS John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein
2022	A*	`conf`	Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
2021	A	`conf`	A unifying framework for observer-aware planning and its complexity. UAI Shuwa Miura, Shlomo Zilberstein
2021	A	`conf`	Agent-Aware State Estimation in Autonomous Vehicles. IROS Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
2021	J	`jnl`	Agent-aware State Estimation in Autonomous Vehicles. CoRR Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
2021	J	`jnl`	Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
2021	J	`jnl`	Competence-Aware Path Planning via Introspective Perception. CoRR Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas
2021	C	`conf`	Ethically Compliant Planning within Moral Communities. AIES Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein
2021	A*	`conf`	Ethically Compliant Sequential Decision Making. AAAI Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
2021	A	`conf`	Improving Competence via Iterative State Space Refinement. IROS Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2021	C	`conf`	Learning to Generate Fair Clusters from Demonstrations. AIES Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2021	J	`jnl`	Learning to Generate Fair Clusters from Demonstrations. CoRR Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2021	B	`conf`	Maximizing Legibility in Stochastic Environments. RO-MAN Shuwa Miura, Andrew L. Cohen, Shlomo Zilberstein
2021	A	`conf`	Mitigating Negative Side Effects via Environment Shaping. AAMAS Sandhya Saisubramanian, Shlomo Zilberstein
2021	J	`jnl`	Mitigating Negative Side Effects via Environment Shaping. CoRR Sandhya Saisubramanian, Shlomo Zilberstein
2021	B	`conf`	On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein
2021	A*	`conf`	Solving Markov Decision Processes with Partial State Abstractions. ICRA Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein
2021	—	`conf`	Understanding User Attitudes Towards Negative Side Effects of AI Systems. CHI Extended Abstracts Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein
2020	A*	`conf`	A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein
2020	A*	`conf`	A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2020	A	`conf`	Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. ECAI Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein
2020	A	`conf`	An Integrated Approach to Moral Autonomous Systems. ECAI Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
2020	J	`jnl`	Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
2020	C	`conf`	Balancing the Tradeoff Between Clustering Value and Interpretability. AIES Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
2020	—	`conf`	Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
2020	J	`jnl`	Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein
2020	—	`conf`	Improving Competence for Reliable Autonomy. AREA@ECAI Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2020	A	`conf`	Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2020	J	`jnl`	Learning to Optimize Autonomy in Competence-Aware Systems. CoRR Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2020	A	`conf`	Maximizing Plan Legibility in Stochastic Environments. AAMAS Shuwa Miura, Shlomo Zilberstein
2020	A	`conf`	Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
2020	B	`conf`	Multi-agent Planning with High-Level Human Guidance. PRIMA Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
2020	—	`conf`	Skill-based Career Path Modeling and Recommendation. IEEE BigData Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan
2019	A	`conf`	Adaptive Outcome Selection for Planning with Reduced Models. IROS Sandhya Saisubramanian, Shlomo Zilberstein
2019	J	`jnl`	Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
2019	A	`conf`	Belief Space Metareasoning for Exception Recovery. IROS Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
2019	A*	`conf`	Efficient Heuristic Search for Optimal Environment Redesign. ICAPS Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2019	A*	`conf`	Generalized Controllers in POMDP Decision-Making. ICRA Kyle Hollins Wray, Shlomo Zilberstein
2019	J	`jnl`	Lexicographically Ordered Multi-Objective Clustering. CoRR Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
2019	—	`conf`	Minimizing the Negative Side Effects of Planning with Reduced Models. SafeAI@AAAI Sandhya Saisubramanian, Shlomo Zilberstein
2019	J	`jnl`	Minimizing the Negative Side Effects of Planning with Reduced Models. CoRR Sandhya Saisubramanian, Shlomo Zilberstein
2019	A	`conf`	Planning in Stochastic Environments with Goal Uncertainty. IROS Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2019	A	`conf`	Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS Kyle Hollins Wray, Shlomo Zilberstein
2019	J	`jnl`	Probabilistic Planning with Reduced Models. J. Artif. Intell. Res. Luis Enrique Pineda, Shlomo Zilberstein
2019	J	`jnl`	Reports of the 2018 AAAI Fall Symposium. AI Mag. 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
2019	J	`jnl`	Responsive Planning and Recognition for Closed-Loop Interaction. CoRR Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein
2019	—	`conf`	Satisfying Social Preferences in Ridesharing Services. ITSC Sandhya Saisubramanian, Connor Basich, Shlomo Zilberstein, Claudia V. Goldman
2019	A	`conf`	Soft Labeling in Stochastic Shortest Path Problems. AAMAS Luis Enrique Pineda, Shlomo Zilberstein
2019	—	`conf`	Stochastic multi-agent planning with partial state models. DAI Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
2019	Misc	`conf`	Using Natural Language Constructs and Concepts to Aid Network Management. ICNC Abhishek Dwaraki, Richard G. Freedman, Shlomo Zilberstein, Tilman Wolf
2018	J	`jnl`	An Anytime Algorithm for Task and Motion MDPs. CoRR Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein
2018	A*	`conf`	Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein
2018	A*	`conf`	Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
2018	A	`conf`	Planning Using a Portfolio of Reduced Models. AAMAS Sandhya Saisubramanian, Shlomo Zilberstein, Prashant J. Shenoy
2018	J	`jnl`	Planning in Stochastic Environments with Goal Uncertainty. CoRR Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2018	A*	`conf`	Privacy-Preserving Policy Iteration for Decentralized POMDPs. AAAI Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2018	—	`conf`	Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. AAAI Workshops Richard Gabriel Freedman, Shlomo Zilberstein
2018	—	`conf`	Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. AAAI Workshops Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein
2017	A	`conf`	Approximating reachable belief points in POMDPs. IROS Kyle Hollins Wray, Shlomo Zilberstein
2017	—	`conf`	Does the Human's Representation Matter for Unsupervised Activity Recognition? AAAI Fall Symposia Richard G. Freedman, Shlomo Zilberstein
2017	A*	`conf`	Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2017	A*	`conf`	Fast SSP Solvers Using Short-Sighted Labeling. AAAI Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein
2017	J	`jnl`	Generalizing the Role of Determinization in Probabilistic Planning. CoRR Luis Enrique Pineda, Shlomo Zilberstein
2017	A*	`conf`	Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. AAAI Richard G. Freedman, Shlomo Zilberstein
2017	A*	`conf`	Multi-Agent Planning with Baseline Regret Minimization. IJCAI Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2017	A*	`conf`	Online Decision-Making for Scalable Autonomous Systems. IJCAI Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
2017	A*	`conf`	Redesigning Stochastic Environments for Maximized Utility. AAAI Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein
2017	—	`conf`	Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2017	A*	`conf`	Robust Optimization for Tree-Structured Stochastic Network Design. AAAI Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
2017	—	`conf`	Toward Effective Soft Robot Control via Reinforcement Learning. ICIRA (1) Haochong Zhang, Rongyun Cao, Shlomo Zilberstein, Feng Wu, Xiaoping Chen
2016	A*	`conf`	A POMDP Formulation of Proactive Learning. AAAI Kyle Hollins Wray, Shlomo Zilberstein
2016	A*	`conf`	Dual Formulations for Optimizing Dec-POMDP Controllers. ICAPS Akshat Kumar, Hala Mostafa, Shlomo Zilberstein
2016	A*	`conf`	Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2016	A	`conf`	Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). AAMAS Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
2016	A	`conf`	Log-space harmonic function path planning. IROS Kyle Hollins Wray, Dirk Ruiken, Roderic A. Grupen, Shlomo Zilberstein
2016	A*	`conf`	Optimizing Resilience in Large Scale Networks. AAAI Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein
2016	J	`jnl`	Robust Optimization for Tree-Structured Stochastic Network Design. CoRR Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
2016	—	`conf`	Safety in AI-HRI: Challenges Complementing User Experience Quality. AAAI Fall Symposia Richard G. Freedman, Shlomo Zilberstein
2015	—	`conf`	A Parallel Point-Based POMDP Algorithm Leveraging GPUs. AAAI Fall Symposia Kyle Hollins Wray, Shlomo Zilberstein
2015	A*	`conf`	Building Strong Semi-Autonomous Systems. AAAI Shlomo Zilberstein
2015	—	`conf`	Continual planning for search and rescue robots. Humanoids Luis Enrique Pineda, Takeshi Takahashi, Hee-Tae Jung, Shlomo Zilberstein, Roderic A. Grupen
2015	A*	`conf`	Fast Combinatorial Algorithm for Optimizing the Spread of Cascades. IJCAI Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein
2015	A*	`conf`	History-Based Controller Design and Optimization for Partially Observable MDPs. ICAPS Akshat Kumar, Shlomo Zilberstein
2015	A	`conf`	Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation. IUI Hee-Tae Jung, Richard G. Freedman, Tammie Foster, Yu-Kyong Choe, Shlomo Zilberstein, Roderic A. Grupen
2015	A*	`conf`	Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. AAAI Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib
2015	A*	`conf`	Multi-Objective POMDPs with Lexicographic Reward Preferences. IJCAI Kyle Hollins Wray, Shlomo Zilberstein
2015	J	`jnl`	Probabilistic Inference Techniques for Scalable Multiagent Decision Making. J. Artif. Intell. Res. Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2015	A*	`ed.`	Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, ICAPS 2015, Jerusalem, Israel, June 7-11, 2015. ICAPS Ronen I. Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein
2015	—	`conf`	Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. AAAI Fall Symposia Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein
2015	—	`conf`	Temporal and Object Relations in Unsupervised Plan and Activity Recognition. AAAI Fall Symposia Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein
2015	A*	`conf`	Tractability of Planning with Loops. AAAI Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell
2014	J	`jnl`	A Bilinear Programming Approach for Multiagent Planning. CoRR Marek Petrik, Shlomo Zilberstein
2014	A*	`conf`	Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	A	`conf`	Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	A*	`conf`	Plan and Activity Recognition from a Topic Modeling Perspective. ICAPS Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein
2014	A*	`conf`	Planning Under Uncertainty Using Reduced Models: Revisiting Determinization. ICAPS Luis Enrique Pineda, Shlomo Zilberstein
2014	J	`jnl`	Policy Iteration for Decentralized Control of Markov Decision Processes. CoRR Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein
2014	A*	`conf`	Rounded Dynamic Programming for Tree-Structured Stochastic Network Design. AAAI Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein
2014	—	`conf`	Stochastic Network Design in Bidirected Trees. NIPS Xiaojian Wu, Daniel Sheldon, Shlomo Zilberstein
2014	—	`conf`	Temporal and Object Relations in Plan and Activity Recognition for Robots Using Topic Models. AAAI Fall Symposia Richard Gabriel Freedman, Hee-Tae Jung, Shlomo Zilberstein
2013	A*	`conf`	Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs. IJCAI William Yeoh, Akshat Kumar, Shlomo Zilberstein
2013	A*	`conf`	Fault-Tolerant Planning under Uncertainty. IJCAI Luis Enrique Pineda, Yi Lu, Shlomo Zilberstein, Claudia V. Goldman
2013	A*	`conf`	Monte-Carlo Expectation Maximization for Decentralized POMDPs. IJCAI Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings
2013	A*	`conf`	Parameter Learning for Latent Network Diffusion. IJCAI Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
2013	A*	`conf`	Qualitative Planning under Partial Observability in Multi-Agent Domains. AAAI Ronen I. Brafman, Guy Shani, Shlomo Zilberstein
2013	J	`jnl`	The Complexity of Decentralized Control of Markov Decision Processes CoRR Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman
2012	J	`jnl`	Anytime Planning for Decentralized POMDPs using Expectation Maximization CoRR Akshat Kumar, Shlomo Zilberstein
2012	J	`jnl`	Applicability conditions for plans with loops: Computability results and algorithms. Artif. Intell. Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2012	J	`jnl`	Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs CoRR Sven Seuken, Shlomo Zilberstein
2012	A*	`conf`	Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning. AAAI Akshat Kumar, Xiaojian Wu, Shlomo Zilberstein
2012	—	`ch.`	Learning Feature-Based Heuristic Functions. Autonomous Search Marek Petrik, Shlomo Zilberstein
2012	J	`jnl`	MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs CoRR Daniel Szer, François Charpillet, Shlomo Zilberstein
2012	A	`conf`	Message-Passing Algorithms for MAP Estimation Using DC Programming. AISTATS Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2012	J	`jnl`	Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation CoRR Akshat Kumar, Shlomo Zilberstein
2012	J	`jnl`	Optimizing Memory-Bounded Controllers for Decentralized POMDPs CoRR Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2012	J	`jnl`	Region-Based Incremental Pruning for POMDPs CoRR Zhengzhu Feng, Shlomo Zilberstein
2012	J	`jnl`	Rollout Sampling Policy Iteration for Decentralized POMDPs CoRR Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2012	J	`jnl`	Symbolic Generalization for On-line Planning CoRR Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein
2011	J	`jnl`	A new representation and associated algorithms for generalized planning. Artif. Intell. Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2011	J	`jnl`	Communication-Based Decomposition Mechanisms for Decentralized MDPs CoRR Claudia V. Goldman, Shlomo Zilberstein
2011	J	`jnl`	Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis CoRR Claudia V. Goldman, Shlomo Zilberstein
2011	A	`conf`	Decentralized monitoring of distributed anytime algorithms. AAMAS Alan Carlin, Shlomo Zilberstein
2011	A*	`conf`	Directed Search for Generalized Plans Using Classical Planners. ICAPS Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein, Tianjiao Zhang
2011	—	`conf`	Influence Diagrams with Memory States: Representation and Algorithms. ADT Xiaojian Wu, Akshat Kumar, Shlomo Zilberstein
2011	A*	`conf`	Linear Dynamic Programs for Resource Management. AAAI Marek Petrik, Shlomo Zilberstein
2011	A	`conf`	Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. UAI Akshat Kumar, Shlomo Zilberstein
2011	A	`conf`	Message-passing algorithms for large structured decentralized POMDPs. AAMAS Akshat Kumar, Shlomo Zilberstein
2011	—	`ch.`	Metareasoning and Bounded Rationality. Metareasoning Shlomo Zilberstein
2011	A*	`conf`	Online Planning for Ad Hoc Autonomous Agent Teams. IJCAI Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2011	J	`jnl`	Online planning for multi-agent systems with bounded communication. Artif. Intell. Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2011	A*	`conf`	Qualitative Numeric Planning. AAAI Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner
2011	J	`jnl`	Robust Approximate Bilinear Programming for Value Function Approximation. J. Mach. Learn. Res. Marek Petrik, Shlomo Zilberstein
2011	A*	`conf`	Scalable Multiagent Planning Using Probabilistic Inference. IJCAI Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
2011	A*	`conf`	Termination and Correctness Analysis of Cyclic Control. AAAI Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2010	A	`conf`	A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy. ECAI Abdel-Illah Mouaddib, Shlomo Zilberstein, Aurélie Beynier, Laurent Jeanpierre
2010	A	`conf`	Anytime Planning for Decentralized POMDPs using Expectation Maximization. UAI Akshat Kumar, Shlomo Zilberstein
2010	A*	`conf`	Computing Applicability Conditions for Plans with Loops. ICAPS Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2010	J	`jnl`	Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes CoRR Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein
2010	A*	`conf`	Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. ICML Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein
2010	A*	`conf`	Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs. AAAI Christopher Amato, Blai Bonet, Shlomo Zilberstein
2010	J	`jnl`	Global Optimization for Value Function Approximation CoRR Marek Petrik, Shlomo Zilberstein
2010	—	`conf`	MAP Estimation for Graphical Models by Likelihood Maximization. NIPS Akshat Kumar, Shlomo Zilberstein
2010	A	`conf`	Merging example plans into generalized plans for non-deterministic environments. AAMAS Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2010	J	`jnl`	Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs. Auton. Agents Multi Agent Syst. Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2010	A	`conf`	Point-based backup for decentralized POMDPs: complexity and new algorithms. AAMAS Akshat Kumar, Shlomo Zilberstein
2010	A	`conf`	Point-based policy generation for decentralized POMDPs. AAMAS Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2010	A	`conf`	Rollout Sampling Policy Iteration for Decentralized POMDPs. UAI Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2010	A*	`conf`	Trial-Based Dynamic Programming for Multi-Agent Planning. AAAI Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2009	J	`jnl`	A Bilinear Programming Approach for Multiagent Planning. J. Artif. Intell. Res. Marek Petrik, Shlomo Zilberstein
2009	—	`conf`	Abstract Planning with Unknown Object Quantities and Properties. SARA Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2009	—	`conf`	Achieving goals in decentralized POMDPs. AAMAS (1) Christopher Amato, Shlomo Zilberstein
2009	—	`conf`	Agent Influence and Intelligent Approximation in Multiagent Problems. IAT Martin Allen, Shlomo Zilberstein
2009	J	`jnl`	Analyzing Myopic Approaches for Multi-Agent Communication. Comput. Intell. Raphen Becker, Alan Carlin, Victor R. Lesser, Shlomo Zilberstein
2009	—	`conf`	Complexity of Decentralized Control: Special Cases. NIPS Martin Allen, Shlomo Zilberstein
2009	A*	`conf`	Constraint relaxation in approximate linear programs. ICML Marek Petrik, Shlomo Zilberstein
2009	—	`conf`	Constraint-based dynamic programming for decentralized POMDPs with structured interactions. AAMAS (1) Akshat Kumar, Shlomo Zilberstein
2009	Misc	`conf`	Dynamic Programming Approximations for Partially Observable Stochastic Games. FLAIRS Akshat Kumar, Shlomo Zilberstein
2009	A*	`conf`	Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations. IJCAI Akshat Kumar, Shlomo Zilberstein
2009	A*	`conf`	Incremental Policy Generation for Finite-Horizon DEC-POMDPs. ICAPS Christopher Amato, Jilles Steeve Dibangoye, Shlomo Zilberstein
2009	A*	`conf`	Multi-Agent Online Planning with Communication. ICAPS Feng Wu, Shlomo Zilberstein, Xiaoping Chen
2009	—	`conf`	Myopic and Non-myopic Communication under Partial Observability. IAT Alan Carlin, Shlomo Zilberstein
2009	J	`jnl`	Policy Iteration for Decentralized Control of Markov Decision Processes. J. Artif. Intell. Res. Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein
2009	—	`conf`	Robust Value Function Approximation Using Bilinear Programming. NIPS Marek Petrik, Shlomo Zilberstein
2009	—	`conf`	Strategic reasoning about bundling in swarming systems. GAMENETS Daniel Sadoc Menasché, Giovanni Neglia, Don Towsley, Shlomo Zilberstein
2008	Misc	`conf`	A Successive Approximation Algorithm for Coordination Problems. ISAIM Marek Petrik, Shlomo Zilberstein
2008	J	`jnl`	Communication-Based Decomposition Mechanisms for Decentralized MDPs. J. Artif. Intell. Res. Claudia V. Goldman, Shlomo Zilberstein
2008	J	`jnl`	Formal models and algorithms for decentralized decision making under uncertainty. Auton. Agents Multi Agent Syst. Sven Seuken, Shlomo Zilberstein
2008	A*	`conf`	Interaction Structure and Dimensionality Reduction in Decentralized MDPs. AAAI Martin Allen, Marek Petrik, Shlomo Zilberstein
2008	A*	`conf`	Learning Generalized Plans Using Abstract Counting. AAAI Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2008	A*	`conf`	Learning Heuristic Functions through Approximate Linear Programming. ICAPS Marek Petrik, Shlomo Zilberstein
2008	Misc	`conf`	Using Abstraction for Generalized Planning. ISAIM Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
2008	—	`conf`	Value-based observation compression for DEC-POMDPs. AAMAS (1) Alan Carlin, Shlomo Zilberstein
2007	A*	`conf`	Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving. AAAI Martin Allen, Shlomo Zilberstein
2007	A*	`conf`	Anytime Coordination Using Separable Bilinear Programs. AAAI Marek Petrik, Shlomo Zilberstein
2007	A*	`conf`	Average-Reward Decentralized Markov Decision Processes. IJCAI Marek Petrik, Shlomo Zilberstein
2007	A	`conf`	Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. UAI Sven Seuken, Shlomo Zilberstein
2007	J	`jnl`	Learning to communicate in a decentralized environment. Auton. Agents Multi Agent Syst. Claudia V. Goldman, Martin Allen, Shlomo Zilberstein
2007	A*	`conf`	Memory-Bounded Dynamic Programming for DEC-POMDPs. IJCAI Sven Seuken, Shlomo Zilberstein
2007	A	`conf`	Optimizing Memory-Bounded Controllers for Decentralized POMDPs. UAI Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2007	J	`jnl`	Résolution optimale de DEC-POMDPs par recherche heuristique. Rev. d'Intelligence Artif. Daniel Szer, François Charpillet, Shlomo Zilberstein
2007	A*	`conf`	Solving POMDPs Using Quadratically Constrained Linear Programs. IJCAI Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2007	A*	`conf`	Web Page Clustering Using Heuristic Search in the Web Graph. IJCAI Ron Bekkerman, Shlomo Zilberstein, James Allan
2006	—	`conf`	Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. AI&M Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2006	—	`conf`	Learning Static Parallel Portfolios of Algorithms. AI&M Marek Petrik, Shlomo Zilberstein
2006	J	`jnl`	Learning parallel portfolios of algorithms. Ann. Math. Artif. Intell. Marek Petrik, Shlomo Zilberstein
2006	J	`jnl`	Preface. Ann. Math. Artif. Intell. Shlomo Zilberstein
2006	A	`conf`	Solving POMDPs using quadratically constrained linear programs. AAMAS Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein
2005	—	`conf`	Analyzing Myopic Approaches for Multi-Agent Communication. IAT Raphen Becker, Victor R. Lesser, Shlomo Zilberstein
2005	A*	`conf`	Bounded Policy Iteration for Decentralized POMDPs. IJCAI Daniel S. Bernstein, Eric A. Hansen, Shlomo Zilberstein
2005	A*	`conf`	Efficient Maximization in Solving POMDPs. AAAI Zhengzhu Feng, Shlomo Zilberstein
2005	—	`conf`	Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains. SARA Natalia N. Beliaeva, Shlomo Zilberstein
2005	A*	`conf`	Language Learning in Multi-Agent Systems. IJCAI Martin Allen, Claudia V. Goldman, Shlomo Zilberstein
2005	A	`conf`	MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. UAI Daniel Szer, François Charpillet, Shlomo Zilberstein
2004	A*	`conf`	Attribute Measurement Policies for Time and Cost Sensitive Classification. ICDM Andrew Arnt, Shlomo Zilberstein
2004	A	`conf`	Automated Conversion and Simplification of Plan Representations. AAMAS Martin Allen, Shlomo Zilberstein
2004	—	`conf`	Cost and Information-Driven Algorithm Selection for Vision Systems. ICIAR (1) Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman
2004	J	`jnl`	Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis. J. Artif. Intell. Res. Claudia V. Goldman, Shlomo Zilberstein
2004	A	`conf`	Decentralized Language Learning through Acting. AAMAS Claudia V. Goldman, Martin Allen, Shlomo Zilberstein
2004	A	`conf`	Decentralized Markov Decision Processes with Event-Driven Interactions. AAMAS Raphen Becker, Shlomo Zilberstein, Victor R. Lesser
2004	J	`jnl`	Dynamic Composition of Information Retrieval Techniques. J. Intell. Inf. Syst. Andrew Arnt, Shlomo Zilberstein, James Allan, Abdel-Illah Mouaddib
2004	A*	`conf`	Dynamic Programming for Partially Observable Stochastic Games. AAAI Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilberstein
2004	—	`conf`	Heuristic-guided counterexample search in FLAVERS. SIGSOFT FSE Jianbin Tan, George S. Avrunin, Lori A. Clarke, Shlomo Zilberstein, Stefan Leue
2004	A*	`ed.`	Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), June 3-7 2004, Whistler, British Columbia, Canada ICAPS Shlomo Zilberstein, Jana Koehler, Sven Koenig
2004	A	`conf`	Region-Based Incremental Pruning for POMDPs. UAI Zhengzhu Feng, Shlomo Zilberstein
2004	J	`jnl`	Solving Transition Independent Decentralized Markov Decision Processes. J. Artif. Intell. Res. Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman
2004	J	`jnl`	The Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04). AI Mag. Shlomo Zilberstein, Jana Koehler, Sven Koenig
2003	—	`conf`	Adaptive Peer Selection. IPTPS Daniel S. Bernstein, Zhengzhu Feng, Brian Neil Levine, Shlomo Zilberstein
2003	A*	`conf`	Automated Generation of Understandable Contingency Plans. IJCAI Max Horstmann, Shlomo Zilberstein
2003	A*	`conf`	Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems. IJCAI Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilberstein
2003	J	`jnl`	Decision Making and Uncertainty Management in a 3D Reconstruction System. IEEE Trans. Pattern Anal. Mach. Intell. Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman
2003	—	`conf`	Learning to Perform Moderation in Online Forums. Web Intelligence Andrew Arnt, Shlomo Zilberstein
2003	J	`jnl`	Optimal Sequencing of Contract Algorithms. Ann. Math. Artif. Intell. Shlomo Zilberstein, François Charpillet, Philippe Chassaing
2003	A	`conf`	Optimizing information exchange in cooperative multi-agent systems. AAMAS Claudia V. Goldman, Shlomo Zilberstein
2003	A	`conf`	Symbolic Generalization for On-line Planning. UAI Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein
2003	A	`conf`	Transition-independent decentralized markov decision processes. AAMAS Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman
2002	—	`conf`	Scheduling Contract Algorithms on Multiple Processors. AAAI/IAAI Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein, Lev Finkelstein
2002	J	`jnl`	The Complexity of Decentralized Control of Markov Decision Processes. Math. Oper. Res. Daniel S. Bernstein, Robert Givan, Neil Immerman, Shlomo Zilberstein
2001	A*	`conf`	Adaptive Control of Acyclic Progressive Processing Task Structures. IJCAI Stéphane Cardon, Abdel-Illah Mouaddib, Shlomo Zilberstein, Richard Washington
2001	—	`conf`	Communication decisions in multi-agent cooperation: model and experiments. Agents Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
2001	J	`jnl`	Computational tradeoffs under bounded resources. Artif. Intell. Eric Horvitz, Shlomo Zilberstein
2001	—	`conf`	Decision-Theoretic Control of Planetary Rovers. Advances in Plan-Based Control of Robotic Agents Shlomo Zilberstein, Richard Washington, Daniel S. Bernstein, Abdel-Illah Mouaddib
2001	J	`jnl`	LAO Artif. Intell. Eric A. Hansen, Shlomo Zilberstein
2001	J	`jnl`	Monitoring and control of anytime algorithms: A dynamic programming approach. Artif. Intell. Eric A. Hansen, Shlomo Zilberstein
2001	J	`jnl`	Reasoning about Rational Agents: A Review. AI Mag. Shlomo Zilberstein
2000	J	`jnl`	A Value-Driven System for Autonomous Information Gathering. J. Intell. Inf. Syst. Joshua W. Grass, Shlomo Zilberstein
2000	—	`conf`	Communication in Multi-Agent Markov Decision Processes. ICMAS Ping Xuan, Victor R. Lesser, Shlomo Zilberstein
2000	—	`conf`	Dynamic Scheduling of Progressive Processing Plans. PuK Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew Arnt
2000	J	`jnl`	Optimal scheduling of progressive processing tasks. Int. J. Approx. Reason. Shlomo Zilberstein, Abdel-Illah Mouaddib
2000	J	`jnl`	Reports on the AAAI Spring Symposia (March 1999). AI Mag. David J. Musliner, Barney Pell, Wolff Dobson, Kai Goebel, Gautam Biswas, Sheila A. McIlraith, Giuseppina C. Gini, Sven Koenig, Shlomo Zilberstein, Weixiong Zhang
2000	A	`conf`	The Complexity of Decentralized Control of Markov Decision Processes. UAI Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman
1999	A*	`conf`	Control in a 3D Reconstruction System using Selective Perception. ICCV Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman
1999	A*	`conf`	Reactive Control of Dynamic Progressive Processing. IJCAI Shlomo Zilberstein, Abdel-Illah Mouaddib
1999	A*	`conf`	Real-Time Problem-Solving with Contract Algorithms. IJCAI Shlomo Zilberstein, François Charpillet, Philippe Chassaing
1998	—	`conf`	Heuristic Search in Cyclic AND/OR Graphs. AAAI/IAAI Eric A. Hansen, Shlomo Zilberstein
1998	A	`conf`	Optimal Scheduling of Dynamic Progressive Processing. ECAI Abdel-Illah Mouaddib, Shlomo Zilberstein
1997	—	`conf`	Handling Duration Uncertainty in Meta-Level Control of Progressive Processing. IJCAI Abdel-Illah Mouaddib, Shlomo Zilberstein
1996	J	`jnl`	Anytime Algorithm Development Tools. SIGART Bull. Joshua W. Grass, Shlomo Zilberstein
1996	J	`jnl`	Monitoring Anytime Algorithms. SIGART Bull. Eric A. Hansen, Shlomo Zilberstein
1996	—	`conf`	Monitoring the Progress of Anytime Problem-Solving. AAAI/IAAI, Vol. 2 Eric A. Hansen, Shlomo Zilberstein
1996	J	`jnl`	Optimal Composition of Real-Time Systems. Artif. Intell. Shlomo Zilberstein, Stuart Russell
1996	—	`conf`	Reinforcement Learning for Mixed Open-loop and Closed-loop Control. NIPS Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein
1996	J	`jnl`	Resource-Bounded Reasoning in Intelligent Systems. ACM Comput. Surv. Shlomo Zilberstein
1996	J	`jnl`	Resource-bounded sensing and planning in autonomous systems. Auton. Robots Shlomo Zilberstein
1996	J	`jnl`	Using Anytime Algorithms in Intelligent Systems. AI Mag. Shlomo Zilberstein
1995	A*	`conf`	Knowledge-Based Anytime Computation. IJCAI Abdel-Illah Mouaddib, Shlomo Zilberstein
1995	J	`jnl`	Operational Rationality through Compilation of Anytime Algorithms. AI Mag. Shlomo Zilberstein
1995	A*	`conf`	Optimizing Decision Quality with Contract Algorithms. IJCAI Shlomo Zilberstein
1995	J	`jnl`	The Utility of Planning. SIGART Bull. Shlomo Zilberstein
1994	C	`conf`	Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach. ISMIS Shlomo Zilberstein
1993	A*	`conf`	Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI Shlomo Zilberstein, Stuart Russell
1991	A*	`conf`	Composing Real-Time Systems. IJCAI Stuart J. Russell, Shlomo Zilberstein