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ORCIDShlomo Zilberstein
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- affiliation: University of Massachusetts Amherst, USA
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2020 – today
- 2024
[c196]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: 1346-1354- [c195]Shuwa Miura, Shlomo Zilberstein:
Observer-Aware Planning with Implicit and Explicit Communication. AAMAS 2024: 1409-1417 - [c194]Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein:
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. AAMAS 2024: 2213-2215 - [c193]Moumita Choudhury, Sandhya Saisubramanian, Hao Zhang, Shlomo Zilberstein:
Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination. FLAIRS 2024 - [c192]Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein:
Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms. ICRA 2024: 4619-4625 - [c191]Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Ethically Compliant Autonomous Systems under Partial Observability. ICRA 2024: 16229-16235 - 2023
- [j44]Connor Basich
, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Competence-aware systems. Artif. Intell. 316: 103844 (2023) - [c190]Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
REVEALE: Reward Verification and Learning Using Explanations. SafeAI@AAAI 2023 - [c189]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: 15144-15151 - [c188]Saaduddin Mahmud, Connor Basich, Shlomo Zilberstein:
Semi-Autonomous Systems with Contextual Competence Awareness. AAMAS 2023: 689-697 - [c187]Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein:
Causal Explanations for Sequential Decision Making Under Uncertainty. AAMAS 2023: 2307-2309 - [c186]Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, Shlomo Zilberstein:
Estimating Causal Responsibility for Explaining Autonomous Behavior. EXTRAAMAS 2023: 78-94 - [c185]Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
Explanation-Guided Reward Alignment. IJCAI 2023: 473-482 - [c184]Connor Basich, Saaduddin Mahmud, Shlomo Zilberstein:
Learning Constraints on Autonomous Behavior from Proactive Feedback. IROS 2023: 3680-3687 - [c183]Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Formal Composition of Robotic Systems as Contract Programs. IROS 2023: 6727-6732 - [i34]Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein:
RL3: Boosting Meta Reinforcement Learning via RL inside RL2. CoRR abs/2306.15909 (2023) - 2022
- [j43]Samer B. Nashed, Shlomo Zilberstein:
A Survey of Opponent Modeling in Adversarial Domains. J. Artif. Intell. Res. 73: 277-327 (2022) - [j42]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
Avoiding Negative Side Effects of Autonomous Systems in the Open World. J. Artif. Intell. Res. 74: 143-177 (2022) - [j41]Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. 7(2): 3218-3225 (2022) - [c182]Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS 2022: 556-564 - [c181]Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein:
Metareasoning for Safe Decision Making in Autonomous Systems. ICRA 2022: 11073-11079 - [c180]Connor Basich, Joseph A. Russino, Steve A. Chien, Shlomo Zilberstein:
A Sampling Based Approach to Robust Planning for a Planetary Lander. IROS 2022: 4106-4111 - [c179]Connor Basich, John R. Peterson, Shlomo Zilberstein:
Planning with Intermittent State Observability: Knowing When to Act Blind. IROS 2022: 11657-11664 - [c178]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: 11665-11670 - [c177]Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein:
Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS 2022: 127-135 - [c176]John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein:
Trajectory Constraint Heuristics for Optimal Probabilistic Planning. SOCS 2022: 153-161 - [i33]Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein:
A Unifying Framework for Causal Explanation of Sequential Decision Making. CoRR abs/2205.15462 (2022) - [i32]Emily Pruc, Shlomo Zilberstein, Joydeep Biswas:
Dense Crowd Flow-Informed Path Planning. CoRR abs/2206.00705 (2022) - [i31]Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein:
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL. CoRR abs/2206.02380 (2022) - 2021
- [j40]Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar:
Avoiding Negative Side Effects Due to Incomplete Knowledge of AI Systems. AI Mag. 42(4): 62-71 (2021) - [c175]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Sequential Decision Making. AAAI 2021: 11657-11665 - [c174]Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein:
Ethically Compliant Planning within Moral Communities. AIES 2021: 188-198 - [c173]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. AIES 2021: 491-501 - [c172]Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. AAMAS 2021: 1640-1642 - [c171]Sandhya Saisubramanian, Shannon C. Roberts, Shlomo Zilberstein:
Understanding User Attitudes Towards Negative Side Effects of AI Systems. CHI Extended Abstracts 2021: 368:1-368:6 - [c170]Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein:
Solving Markov Decision Processes with Partial State Abstractions. ICRA 2021: 813-819 - [c169]Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence via Iterative State Space Refinement. IROS 2021: 1865-1871 - [c168]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-Aware State Estimation in Autonomous Vehicles. IROS 2021: 6694-6699 - [c167]Shuwa Miura, Andrew L. Cohen, Shlomo Zilberstein:
Maximizing Legibility in Stochastic Environments. RO-MAN 2021: 1053-1059 - [c166]Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein:
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS 2021: 116-120 - [c165]Shuwa Miura, Shlomo Zilberstein:
A unifying framework for observer-aware planning and its complexity. UAI 2021: 610-620 - [i30]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Learning to Generate Fair Clusters from Demonstrations. CoRR abs/2102.03977 (2021) - [i29]Sandhya Saisubramanian, Shlomo Zilberstein:
Mitigating Negative Side Effects via Environment Shaping. CoRR abs/2102.07017 (2021) - [i28]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-aware State Estimation in Autonomous Vehicles. CoRR abs/2108.00366 (2021) - [i27]Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning via Introspective Perception. CoRR abs/2109.13974 (2021) - 2020
- [c164]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. AIES 2020: 351-357 - [c163]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS 2020: 123-131 - [c162]Shuwa Miura, Shlomo Zilberstein:
Maximizing Plan Legibility in Stochastic Environments. AAMAS 2020: 1931-1933 - [c161]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach. AAMAS 2020: 1984-1986 - [c160]Aritra Ghosh, Beverly P. Woolf, Shlomo Zilberstein, Andrew S. Lan:
Skill-based Career Path Modeling and Recommendation. IEEE BigData 2020: 1156-1165 - [c159]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: 2394-2401 - [c158]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
An Integrated Approach to Moral Autonomous Systems. ECAI 2020: 2941-2942 - [c157]Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein:
A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA 2020: 11436-11442 - [c156]Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein:
A Multi-Objective Approach to Mitigate Negative Side Effects. IJCAI 2020: 354-361 - [c155]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI 2020 - [c154]Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings:
Multi-agent Planning with High-Level Human Guidance. PRIMA 2020: 182-198 - [c153]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence for Reliable Autonomy. AREA@ECAI 2020: 37-53 - [i26]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR abs/2003.07745 (2020) - [i25]Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar:
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems. CoRR abs/2008.12146 (2020) - [i24]Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein:
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR abs/2010.04914 (2020)
2010 – 2019
- 2019
- [j39]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): 66-72 (2019) - [j38]Luis Enrique Pineda, Shlomo Zilberstein:
Probabilistic Planning with Reduced Models. J. Artif. Intell. Res. 65: 271-306 (2019) - [c152]Sandhya Saisubramanian, Shlomo Zilberstein:
Minimizing the Negative Side Effects of Planning with Reduced Models. SafeAI@AAAI 2019 - [c151]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Efficient Heuristic Search for Optimal Environment Redesign. ICAPS 2019: 246-254 - [c150]Luis Enrique Pineda, Shlomo Zilberstein:
Soft Labeling in Stochastic Shortest Path Problems. AAMAS 2019: 467-475 - [c149]Kyle Hollins Wray, Shlomo Zilberstein:
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS 2019: 2270-2272 - [c148]Feng Wu, Shlomo Zilberstein, Nicholas R. Jennings:
Stochastic multi-agent planning with partial state models. DAI 2019: 1:1-1:8 - [c147]Abhishek Dwaraki, Richard G. Freedman, Shlomo Zilberstein, Tilman Wolf:
Using Natural Language Constructs and Concepts to Aid Network Management. ICNC 2019: 802-808 - [c146]Kyle Hollins Wray, Shlomo Zilberstein:
Generalized Controllers in POMDP Decision-Making. ICRA 2019: 7166-7172 - [c145]Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Belief Space Metareasoning for Exception Recovery. IROS 2019: 1224-1229 - [c144]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. IROS 2019: 1649-1654 - [c143]Sandhya Saisubramanian, Shlomo Zilberstein:
Adaptive Outcome Selection for Planning with Reduced Models. IROS 2019: 1655-1660 - [c142]Sandhya Saisubramanian, Connor Basich, Shlomo Zilberstein, Claudia V. Goldman:
Satisfying Social Preferences in Ridesharing Services. ITSC 2019: 3720-3725 - [i23]Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Lexicographically Ordered Multi-Objective Clustering. CoRR abs/1903.00750 (2019) - [i22]Sandhya Saisubramanian, Shlomo Zilberstein:
Minimizing the Negative Side Effects of Planning with Reduced Models. CoRR abs/1905.09355 (2019) - [i21]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Responsive Planning and Recognition for Closed-Loop Interaction. CoRR abs/1909.06427 (2019) - [i20]Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein:
Balancing the Tradeoff Between Clustering Value and Interpretability. CoRR abs/1912.07820 (2019) - 2018
- [c141]Richard Gabriel Freedman, Shlomo Zilberstein:
Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. AAAI Workshops 2018: 547-551 - [c140]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. AAAI Workshops 2018: 601-606 - [c139]Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein:
Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI 2018: 4751-4758 - [c138]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Privacy-Preserving Policy Iteration for Decentralized POMDPs. AAAI 2018: 4759-4766 - [c137]Sandhya Saisubramanian, Shlomo Zilberstein, Prashant J. Shenoy:
Planning Using a Portfolio of Reduced Models. AAMAS 2018: 2057-2059 - [c136]Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein:
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI 2018: 1499-1505 - [i19]Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein:
An Anytime Algorithm for Task and Motion MDPs. CoRR abs/1802.05835 (2018) - [i18]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. CoRR abs/1810.08159 (2018) - 2017
- [c135]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Fast SSP Solvers Using Short-Sighted Labeling. AAAI 2017: 3629-3635 - [c134]XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. AAAI 2017: 4545-4551 - [c133]Richard G. Freedman, Shlomo Zilberstein:
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners. AAAI 2017: 4581-4588 - [c132]Sarah Keren, Avigdor Gal, Erez Karpas, Luis Enrique Pineda, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI 2017: 4947-4948 - [c131]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. AAAI Workshops 2017 - [c130]Richard G. Freedman, Shlomo Zilberstein:
Does the Human's Representation Matter for Unsupervised Activity Recognition? AAAI Fall Symposia 2017: 94-98 - [c129]Haochong Zhang, Rongyun Cao, Shlomo Zilberstein, Feng Wu, Xiaoping Chen:
Toward Effective Soft Robot Control via Reinforcement Learning. ICIRA (1) 2017: 173-184 - [c128]Feng Wu, Shlomo Zilberstein, Xiaoping Chen:
Multi-Agent Planning with Baseline Regret Minimization. IJCAI 2017: 444-450 - [c127]Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Equi-Reward Utility Maximizing Design in Stochastic Environments. IJCAI 2017: 4353-4360 - [c126]Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Online Decision-Making for Scalable Autonomous Systems. IJCAI 2017: 4768-4774 - [c125]Kyle Hollins Wray, Shlomo Zilberstein:
Approximating reachable belief points in POMDPs. IROS 2017: 117-122 - [i17]Luis Enrique Pineda, Shlomo Zilberstein:
Generalizing the Role of Determinization in Probabilistic Planning. CoRR abs/1705.07381 (2017) - 2016
- [c124]Kyle Hollins Wray, Shlomo Zilberstein:
A POMDP Formulation of Proactive Learning. AAAI 2016: 3202-3208 - [c123]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Optimizing Resilience in Large Scale Networks. AAAI 2016: 3922-3928 - [c122]Richard G. Freedman, Shlomo Zilberstein:
Safety in AI-HRI: Challenges Complementing User Experience Quality. AAAI Fall Symposia 2016 - [c121]Akshat Kumar, Hala Mostafa, Shlomo Zilberstein:
Dual Formulations for Optimizing Dec-POMDP Controllers. ICAPS 2016: 202-210 - [c120]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). AAMAS 2016: 1285-1286 - [c119]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI 2016: 517-523 - [c118]Kyle Hollins Wray, Dirk Ruiken, Roderic A. Grupen, Shlomo Zilberstein:
Log-space harmonic function path planning. IROS 2016: 1511-1516 - [i16]XiaoJian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein:
Robust Optimization for Tree-Structured Stochastic Network Design. CoRR abs/1612.00104 (2016) - 2015
- [j37]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint:
Probabilistic Inference Techniques for Scalable Multiagent Decision Making. J. Artif. Intell. Res. 53: 223-270 (2015) - [c117]Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell:
Tractability of Planning with Loops. AAAI 2015: 3393-3401 - [c116]Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib:
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. AAAI 2015: 3418-3424 - [c115]Shlomo Zilberstein:
Building Strong Semi-Autonomous Systems. AAAI 2015: 4088-4092 - [c114]Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Temporal and Object Relations in Unsupervised Plan and Activity Recognition. AAAI Fall Symposia 2015: 51-59 - [c113]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. AAAI Fall Symposia 2015: 63-68 - [c112]Kyle Hollins Wray, Shlomo Zilberstein:
A Parallel Point-Based POMDP Algorithm Leveraging GPUs. AAAI Fall Symposia 2015: 95-96 - [c111]Akshat Kumar, Shlomo Zilberstein:
History-Based Controller Design and Optimization for Partially Observable MDPs. ICAPS 2015: 156-164 - [c110]Luis Enrique Pineda, Takeshi Takahashi, Hee-Tae Jung, Shlomo Zilberstein, Roderic A. Grupen:
Continual planning for search and rescue robots. Humanoids 2015: 243-248 - [c109]Kyle Hollins Wray, Shlomo Zilberstein:
Multi-Objective POMDPs with Lexicographic Reward Preferences. IJCAI 2015: 1719-1725 - [c108]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Fast Combinatorial Algorithm for Optimizing the Spread of Cascades. IJCAI 2015: 2655-2661 - [c107]Hee-Tae Jung, Richard G. Freedman, Tammie Foster, Yu-Kyong Choe, Shlomo Zilberstein, Roderic A. Grupen:
Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation. IUI 2015: 432-436 - [e2]Ronen I. Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein:
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, ICAPS 2015, Jerusalem, Israel, June 7-11, 2015. AAAI Press 2015, ISBN 978-1-57735-731-5 [contents] - 2014
- [c106]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Rounded Dynamic Programming for Tree-Structured Stochastic Network Design. AAAI 2014: 479-485 - [c105]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI 2014: 1447-1455 - [c104]Richard Gabriel Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Temporal and Object Relations in Plan and Activity Recognition for Robots Using Topic Models. AAAI Fall Symposia 2014 - [c103]Richard G. Freedman, Hee-Tae Jung, Shlomo Zilberstein:
Plan and Activity Recognition from a Topic Modeling Perspective. ICAPS 2014 - [c102]Luis Enrique Pineda, Shlomo Zilberstein:
Planning Under Uncertainty Using Reduced Models: Revisiting Determinization. ICAPS 2014 - [c101]Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang:
Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS 2014: 1341-1342 - [c100]XiaoJian Wu, Daniel Sheldon, Shlomo Zilberstein:
Stochastic Network Design in Bidirected Trees. NIPS 2014: 882-890 - [i15]Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein:
Policy Iteration for Decentralized Control of Markov Decision Processes. CoRR abs/1401.3460 (2014) - [i14]