| 2026 | AAAI | Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models. | Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein |
| 2026 | AAAI | Causal Explanations for Sequential Decision Making (Abstract Reprint). | Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein |
| 2025 | AAAI | MAPLE: A Framework for Active Preference Learning Guided by Large Language Models. | Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein |
| 2024 | FlAIRS | Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. | Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein |
| 2024 | ICRA | Ethically Compliant Autonomous Systems under Partial Observability. | Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell |
| 2024 | ICRA | Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. | Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein |
| 2024 | UAI | Approximation Algorithms for Observer Aware MDPs. | Shuwa Miura, Olivier Buffet, Shlomo Zilberstein |
| 2023 | AAAI | REVEALE: Reward Verification and Learning Using Explanations. | Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2023 | AAAI | Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers. | Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri, Akshat Kumar, Shlomo Zilberstein |
| 2023 | IJCAI | Explanation-Guided Reward Alignment. | Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2023 | IROS | Learning Constraints on Autonomous Behavior from Proactive Feedback. | Connor Basich, Saaduddin Mahmud, Shlomo Zilberstein |
| 2023 | IROS | Formal Composition of Robotic Systems as Contract Programs. | Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell |
| 2022 | IROS | Planning with Intermittent State Observability: Knowing When to Act Blind. | Connor Basich, John R. Peterson, Shlomo Zilberstein |
| 2022 | IROS | A Sampling Based Approach to Robust Planning for a Planetary Lander. | Connor Basich, Joseph A. Russino, Steve A. Chien, Shlomo Zilberstein |
| 2022 | IROS | Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. | Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein |
| 2022 | ICRA | Metareasoning for Safe Decision Making in Autonomous Systems. | Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2022 | SoCS | Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. | Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein |
| 2022 | SoCS | Trajectory Constraint Heuristics for Optimal Probabilistic Planning. | John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein |
| 2021 | AAAI | Ethically Compliant Sequential Decision Making. | Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein |
| 2021 | AIES | Learning to Generate Fair Clusters from Demonstrations. | Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2021 | AIES | Ethically Compliant Planning within Moral Communities. | Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein |
| 2021 | CHI | Understanding User Attitudes Towards Negative Side Effects of AI Systems. | Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein |
| 2021 | ICRA | Solving Markov Decision Processes with Partial State Abstractions. | Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein |
| 2021 | IROS | Improving Competence via Iterative State Space Refinement. | Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein |
| 2021 | IROS | Agent-Aware State Estimation in Autonomous Vehicles. | Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein |
| 2021 | RO-MAN | Maximizing Legibility in Stochastic Environments. | Shuwa Miura, Andrew L. Cohen, Shlomo Zilberstein |
| 2021 | UAI | A unifying framework for observer-aware planning and its complexity. | Shuwa Miura, Shlomo Zilberstein |
| 2021 | SoCS | On the Benefits of Randomly Adjusting Anytime Weighted A. | Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein |
| 2020 | AIES | Balancing the Tradeoff Between Clustering Value and Interpretability. | Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein |
| 2020 | ECAI | An Integrated Approach to Moral Autonomous Systems. | Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein |
| 2020 | ECAI | Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. | Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein |
| 2020 | IJCAI | A Multi-Objective Approach to Mitigate Negative Side Effects. | Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein |
| 2020 | IJCAI | Ethically Compliant Planning in Moral Autonomous Systems. | Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein |
| 2020 | ICRA | A Model-Free Approach to Meta-Level Control of Anytime Algorithms. | Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein |
| 2020 | PRIMA | Multi-agent Planning with High-Level Human Guidance. | Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings |
| 2019 | AAAI | Minimizing the Negative Side Effects of Planning with Reduced Models. | Sandhya Saisubramanian, Shlomo Zilberstein |
| 2019 | IROS | Planning in Stochastic Environments with Goal Uncertainty. | Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein |
| 2019 | IROS | Adaptive Outcome Selection for Planning with Reduced Models. | Sandhya Saisubramanian, Shlomo Zilberstein |
| 2019 | IROS | Belief Space Metareasoning for Exception Recovery. | Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein |
| 2019 | ICRA | Generalized Controllers in POMDP Decision-Making. | Kyle Hollins Wray, Shlomo Zilberstein |
| 2018 | AAAI | Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. | Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein |
| 2018 | AAAI | Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. | Richard Gabriel Freedman, Shlomo Zilberstein |
| 2018 | AAAI | Integrated Cooperation and Competition in Multi-Agent Decision-Making. | Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein |
| 2018 | AAAI | Privacy-Preserving Policy Iteration for Decentralized POMDPs. | Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2018 | IJCAI | Meta-Level Control of Anytime Algorithms with Online Performance Prediction. | Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein |
| 2017 | AAAI | Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. | Richard G. Freedman, Shlomo Zilberstein |
| 2017 | AAAI | Redesigning Stochastic Environments for Maximized Utility. | Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein |
| 2017 | AAAI | Redesigning Stochastic Environments for Maximized Utility. | Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein |
| 2017 | AAAI | Fast SSP Solvers Using Short-Sighted Labeling. | Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein |
| 2017 | AAAI | Robust Optimization for Tree-Structured Stochastic Network Design. | XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein |
| 2017 | IJCAI | Equi-Reward Utility Maximizing Design in Stochastic Environments. | Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein |
| 2017 | IJCAI | Online Decision-Making for Scalable Autonomous Systems. | Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein |
| 2017 | IJCAI | Multi-Agent Planning with Baseline Regret Minimization. | Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2017 | IROS | Approximating reachable belief points in POMDPs. | Kyle Hollins Wray, Shlomo Zilberstein |
| 2016 | AAAI | A POMDP Formulation of Proactive Learning. | Kyle Hollins Wray, Shlomo Zilberstein |
| 2016 | AAAI | Optimizing Resilience in Large Scale Networks. | XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein |
| 2016 | IJCAI | Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. | Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein |
| 2016 | IROS | Log-space harmonic function path planning. | Kyle Hollins Wray, Dirk Ruiken, Roderic A. Grupen, Shlomo Zilberstein |
| 2015 | AAAI | Tractability of Planning with Loops. | Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell |
| 2015 | AAAI | Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. | Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib |
| 2015 | AAAI | Building Strong Semi-Autonomous Systems. | Shlomo Zilberstein |
| 2015 | IJCAI | Multi-Objective POMDPs with Lexicographic Reward Preferences. | Kyle Hollins Wray, Shlomo Zilberstein |
| 2015 | IJCAI | Fast Combinatorial Algorithm for Optimizing the Spread of Cascades. | XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein |
| 2015 | IUI | Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation. | Hee-Tae Jung, Richard G. Freedman, Tammie Foster, Yu-Kyong Choe, Shlomo Zilberstein, Roderic A. Grupen |
| 2014 | AAAI | Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. | Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang |
| 2014 | AAAI | Rounded Dynamic Programming for Tree-Structured Stochastic Network Design. | XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein |
| 2013 | AAAI | Qualitative Planning under Partial Observability in Multi-Agent Domains. | Ronen I. Brafman, Guy Shani, Shlomo Zilberstein |
| 2013 | IJCAI | Fault-Tolerant Planning under Uncertainty. | Luis Enrique Pineda, Yi Lu, Shlomo Zilberstein, Claudia V. Goldman |
| 2013 | IJCAI | Parameter Learning for Latent Network Diffusion. | XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein |
| 2013 | IJCAI | Monte-Carlo Expectation Maximization for Decentralized POMDPs. | Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings |
| 2013 | IJCAI | Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs. | William Yeoh, Akshat Kumar, Shlomo Zilberstein |
| 2012 | AAAI | Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning. | Akshat Kumar, XiaoJian Wu, Shlomo Zilberstein |
| 2011 | AAAI | Linear Dynamic Programs for Resource Management. | Marek Petrik, Shlomo Zilberstein |
| 2011 | AAAI | Termination and Correctness Analysis of Cyclic Control. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2011 | AAAI | Qualitative Numeric Planning. | Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner |
| 2011 | IJCAI | Scalable Multiagent Planning Using Probabilistic Inference. | Akshat Kumar, Shlomo Zilberstein, Marc Toussaint |
| 2011 | IJCAI | Online Planning for Ad Hoc Autonomous Agent Teams. | Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2011 | UAI | Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. | Akshat Kumar, Shlomo Zilberstein |
| 2010 | AAAI | Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs. | Christopher Amato, Blai Bonet, Shlomo Zilberstein |
| 2010 | AAAI | Trial-Based Dynamic Programming for Multi-Agent Planning. | Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2010 | ECAI | A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy. | Abdel-Illah Mouaddib, Shlomo Zilberstein, Aurlie Beynier, Laurent Jeanpierre |
| 2010 | ICML | Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. | Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein |
| 2010 | UAI | Anytime Planning for Decentralized POMDPs using Expectation Maximization. | Akshat Kumar, Shlomo Zilberstein |
| 2010 | UAI | Rollout Sampling Policy Iteration for Decentralized POMDPs. | Feng Wu, Shlomo Zilberstein, Xiaoping Chen |
| 2009 | FlAIRS | Dynamic Programming Approximations for Partially Observable Stochastic Games. | Akshat Kumar, Shlomo Zilberstein |
| 2009 | ICML | Constraint relaxation in approximate linear programs. | Marek Petrik, Shlomo Zilberstein |
| 2009 | IJCAI | Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations. | Akshat Kumar, Shlomo Zilberstein |
| 2008 | AAAI | Interaction Structure and Dimensionality Reduction in Decentralized MDPs. | Martin Allen, Marek Petrik, Shlomo Zilberstein |
| 2008 | AAAI | Learning Generalized Plans Using Abstract Counting. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2008 | ISAIM | A Successive Approximation Algorithm for Coordination Problems. | Marek Petrik, Shlomo Zilberstein |
| 2008 | ISAIM | Using Abstraction for Generalized Planning. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2007 | AAAI | Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving. | Martin Allen, Shlomo Zilberstein |
| 2007 | AAAI | Anytime Coordination Using Separable Bilinear Programs. | Marek Petrik, Shlomo Zilberstein |
| 2007 | IJCAI | Solving POMDPs Using Quadratically Constrained Linear Programs. | Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein |
| 2007 | IJCAI | Web Page Clustering Using Heuristic Search in the Web Graph. | Ron Bekkerman, Shlomo Zilberstein, James Allan |
| 2007 | IJCAI | Average-Reward Decentralized Markov Decision Processes. | Marek Petrik, Shlomo Zilberstein |
| 2007 | IJCAI | Memory-Bounded Dynamic Programming for DEC-POMDPs. | Sven Seuken, Shlomo Zilberstein |
| 2007 | UAI | Optimizing Memory-Bounded Controllers for Decentralized POMDPs. | Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein |
| 2007 | UAI | Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. | Sven Seuken, Shlomo Zilberstein |
| 2006 | ISAIM | Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. | Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein |
| 2006 | ISAIM | Learning Static Parallel Portfolios of Algorithms. | Marek Petrik, Shlomo Zilberstein |
| 2005 | AAAI | Efficient Maximization in Solving POMDPs. | Zhengzhu Feng, Shlomo Zilberstein |
| 2005 | IJCAI | Language Learning in Multi-Agent Systems. | Martin Allen, Claudia V. Goldman, Shlomo Zilberstein |
| 2005 | IJCAI | Bounded Policy Iteration for Decentralized POMDPs. | Daniel S. Bernstein, Eric A. Hansen, Shlomo Zilberstein |
| 2005 | UAI | MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. | Daniel Szer, Franois Charpillet, Shlomo Zilberstein |
| 2004 | AAAI | Dynamic Programming for Partially Observable Stochastic Games. | Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilberstein |
| 2004 | ICDM | Attribute Measurement Policies for Time and Cost Sensitive Classification. | Andrew Arnt, Shlomo Zilberstein |
| 2004 | UAI | Region-Based Incremental Pruning for POMDPs. | Zhengzhu Feng, Shlomo Zilberstein |
| 2003 | IJCAI | Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems. | Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilberstein |
| 2003 | IJCAI | Automated Generation of Understandable Contingency Plans. | Max Horstmann, Shlomo Zilberstein |
| 2003 | UAI | Symbolic Generalization for On-line Planning. | Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein |
| 2002 | AAAI | Scheduling Contract Algorithms on Multiple Processors. | Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein, Lev Finkelstein |
| 2001 | IJCAI | Adaptive Control of Acyclic Progressive Processing Task Structures. | Stphane Cardon, Abdel-Illah Mouaddib, Shlomo Zilberstein, Richard Washington |
| 2000 | UAI | The Complexity of Decentralized Control of Markov Decision Processes. | Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman |
| 1999 | ICCV | Control in a 3D Reconstruction System using Selective Perception. | Maurcio Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman |
| 1999 | IJCAI | Real-Time Problem-Solving with Contract Algorithms. | Shlomo Zilberstein, Franois Charpillet, Philippe Chassaing |
| 1999 | IJCAI | Reactive Control of Dynamic Progressive Processing. | Shlomo Zilberstein, Abdel-Illah Mouaddib |
| 1998 | AAAI | Heuristic Search in Cyclic AND/OR Graphs. | Eric A. Hansen, Shlomo Zilberstein |
| 1998 | ECAI | Optimal Scheduling of Dynamic Progressive Processing. | Abdel-Illah Mouaddib, Shlomo Zilberstein |
| 1997 | IJCAI | Handling Duration Uncertainty in Meta-Level Control of Progressive Processing. | Abdel-Illah Mouaddib, Shlomo Zilberstein |
| 1996 | AAAI | Monitoring the Progress of Anytime Problem-Solving. | Eric A. Hansen, Shlomo Zilberstein |
| 1995 | IJCAI | Knowledge-Based Anytime Computation. | Abdel-Illah Mouaddib, Shlomo Zilberstein |
| 1995 | IJCAI | Optimizing Decision Quality with Contract Algorithms. | Shlomo Zilberstein |
| 1994 | ISMIS | Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach. | Shlomo Zilberstein |
| 1993 | IJCAI | Anytime Sensing Planning and Action: A Practical Model for Robot Control. | Shlomo Zilberstein, Stuart Russell |
| 1991 | IJCAI | Composing Real-Time Systems. | Stuart J. Russell, Shlomo Zilberstein |