Shlomo Zilberstein
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Artificial intelligence researcher and computer scientist
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Computer Science
Shlomo Zilberstein's Degrees
- Bachelors Computer Science Technion – Israel Institute of Technology
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Why Is Shlomo Zilberstein Influential?
(Suggest an Edit or Addition)According to Wikipedia, Shlomo Zilberstein is an Israeli-American computer scientist. He is a Professor of Computer Science and Associate Dean for Research and Engagement in the College of Information and Computer Sciences at the University of Massachusetts, Amherst. He graduated with a B.A. in Computer Science summa cum laude from Technion – Israel Institute of Technology in 1982, and received a Ph.D. in Computer Science from University of California at Berkeley in 1993, advised by Stuart J. Russell. He is known for his contributions to artificial intelligence, anytime algorithms, multi-agent systems, and automated planning and scheduling algorithms, notably within the context of Markov decision processes , Partially Observable MDPs , and Decentralized POMDPs .
Shlomo Zilberstein's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- The Complexity of Decentralized Control of Markov Decision Processes (2000) (1389)
- Models of Bounded Rationality (1995) (1326)
- Using Anytime Algorithms in Intelligent Systems (1996) (791)
- Dynamic Programming for Partially Observable Stochastic Games (2004) (533)
- LAO*: A heuristic search algorithm that finds solutions with loops (2001) (476)
- Solving Transition Independent Decentralized Markov Decision Processes (2004) (281)
- Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis (2004) (275)
- Optimizing information exchange in cooperative multi-agent systems (2003) (271)
- Communication decisions in multi-agent cooperation: model and experiments (2001) (239)
- Operational Rationality through Compilation of Anytime Algorithms (1995) (236)
- Optimal Composition of Real-Time Systems (1996) (219)
- Formal models and algorithms for decentralized decision making under uncertainty (2008) (219)
- MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs (2005) (208)
- Bounded Policy Iteration for Decentralized POMDPs (2005) (187)
- Composing Real-Time Systems (1991) (182)
- Memory-Bounded Dynamic Programming for DEC-POMDPs (2007) (180)
- Transition-independent decentralized markov decision processes (2003) (149)
- Anytime Sensing Planning and Action: A Practical Model for Robot Control (1993) (144)
- Approximate Reasoning Using Anytime Algorithms (1995) (140)
- Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs (2007) (135)
- Monitoring and control of anytime algorithms: A dynamic programming approach (2001) (131)
- Online planning for multi-agent systems with bounded communication (2011) (131)
- Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs (2010) (131)
- Decentralized Markov decision processes with event-driven interactions (2004) (114)
- Policy Iteration for Decentralized Control of Markov Decision Processes (2009) (107)
- Analyzing myopic approaches for multi-agent communication (2005) (85)
- Adaptive Peer Selection (2003) (79)
- Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes (2010) (77)
- Finite-memory control of partially observable systems (1998) (76)
- A new representation and associated algorithms for generalized planning (2011) (73)
- Incremental Policy Generation for Finite-Horizon DEC-POMDPs (2009) (71)
- Monitoring the Progress of Anytime Problem-Solving (1996) (67)
- Optimizing Memory-Bounded Controllers for Decentralized POMDPs (2007) (67)
- Decision-Theoretic Control of Planetary Rovers (2001) (63)
- Scalable Multiagent Planning Using Probabilistic Inference (2011) (63)
- Anytime algorithm development tools (1996) (62)
- Minimum Time to Situation Awareness in Scenarios Involving Transfer of Control from an Automated Driving Suite (2016) (60)
- Region-Based Incremental Pruning for POMDPs (2004) (60)
- Online Planning for Ad Hoc Autonomous Agent Teams (2011) (58)
- Solving POMDPs using quadratically constrained linear programs (2006) (58)
- Learning Generalized Plans Using Abstract Counting (2008) (58)
- Achieving goals in decentralized POMDPs (2009) (55)
- Multi-Objective MDPs with Conditional Lexicographic Reward Preferences (2015) (54)
- Building Strong Semi-Autonomous Systems (2015) (51)
- Constraint-based dynamic programming for decentralized POMDPs with structured interactions (2009) (50)
- Anytime Heuristic Search: First Results (1997) (49)
- Learning to communicate in a decentralized environment (2007) (47)
- Value-based observation compression for DEC-POMDPs (2008) (47)
- Multi-Agent Online Planning with Communication (2009) (46)
- Online Decision-Making for Scalable Autonomous Systems (2017) (46)
- Integration of Planning with Recognition for Responsive Interaction Using Classical Planners (2017) (46)
- Monte-Carlo Expectation Maximization for Decentralized POMDPs (2013) (46)
- Resource-bounded sensing and planning in autonomous systems (1996) (46)
- Symbolic Generalization for On-line Planning (2002) (45)
- Point-based backup for decentralized POMDPs: complexity and new algorithms (2010) (44)
- Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs (2010) (44)
- Multi-Objective POMDPs with Lexicographic Reward Preferences (2015) (43)
- Anytime Planning for Decentralized POMDPs using Expectation Maximization (2010) (43)
- Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs (2014) (42)
- Computational tradeoffs under bounded resources (2001) (42)
- Experienced drivers are quicker to achieve situation awareness than inexperienced drivers in situations of transfer of control within a Level 3 autonomous environment (2016) (41)
- Learning parallel portfolios of algorithms (2006) (38)
- Real-Time Problem-Solving with Contract Algorithms (1999) (37)
- A Bilinear Programming Approach for Multiagent Planning (2009) (36)
- Point-based policy generation for decentralized POMDPs (2010) (36)
- Optimal Scheduling of Dynamic Progressive Processing (1998) (36)
- Metareasoning and Bounded Rationality (2011) (36)
- Heuristic Search in Cyclic AND/OR Graphs (1998) (35)
- Complexity of Decentralized Control: Special Cases (2009) (35)
- Probabilistic Inference Techniques for Scalable Multiagent Decision Making (2015) (35)
- Knowledge-Based Anytime Computation (1995) (34)
- Efficient resource-bounded reasoning in AT-RALPH (1992) (34)
- A Value-Driven System for Autonomous Information Gathering (2000) (33)
- Constraint relaxation in approximate linear programs (2009) (33)
- Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract) (2016) (33)
- Reactive Control of Dynamic Progressive Processing (1999) (31)
- Planning Under Uncertainty Using Reduced Models: Revisiting Determinization (2014) (31)
- Communication-Based Decomposition Mechanisms for Decentralized MDPs (2008) (31)
- Qualitative Numeric Planning (2011) (31)
- Average-Reward Decentralized Markov Decision Processes (2007) (30)
- Decision Making and Uncertainty Management in a 3D Reconstruction System (2003) (30)
- Reinforcement Learning for Mixed Open-loop and Closed-loop Control (1996) (30)
- Anytime Coordination Using Separable Bilinear Programs (2007) (29)
- Optimal Sequencing of Contract Algorithms (2003) (29)
- Communication in multi-agent Markov decision processes (2000) (29)
- Formal Models and Algorithms for Decentralized Control of Multiple Agents Technical Report UM-CS-2005-068 (2005) (29)
- Robust Approximate Bilinear Programming for Value Function Approximation (2011) (28)
- Rollout Sampling Policy Iteration for Decentralized POMDPs (2010) (28)
- Balancing the Tradeoff Between Clustering Value and Interpretability (2019) (28)
- Directed Search for Generalized Plans Using Classical Planners (2011) (28)
- Dynamic Programming Approximations for Partially Observable Stochastic Games (2009) (28)
- Intelligent Information Gathering Using Decision Models (1996) (28)
- Learning to perform moderation in online forums (2003) (27)
- Great Expectations. Part I: On the Customizability of Generalized Expected Utility (2003) (27)
- Planetary Rover Control as a Markov Decision Process (2002) (26)
- Web Page Clustering Using Heuristic Search in the Web Graph (2007) (25)
- Heuristic-guided counterexample search in FLAVERS (2004) (25)
- Scheduling contract algorithms on multiple processors (2002) (25)
- Qualitative Planning under Partial Observability in Multi-Agent Domains (2013) (25)
- Monitoring anytime algorithms (1996) (25)
- Bounded Dynamic Programming for Decentralized POMDPs (2007) (24)
- Optimizing Decision Quality with Contract Algorithms (1995) (24)
- Toward Effective Soft Robot Control via Reinforcement Learning (2017) (23)
- Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning (2012) (23)
- Learning to Optimize Autonomy in Competence-Aware Systems (2020) (23)
- Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems (2003) (22)
- Belief Space Metareasoning for Exception Recovery (2019) (22)
- Equi-Reward Utility Maximizing Design in Stochastic Environments (2017) (21)
- A Multi-Objective Approach to Mitigate Negative Side Effects (2020) (21)
- Learning Static Parallel Portfolios of Algorithms (2006) (20)
- Reasoning about Rational Agents: A Review (2001) (20)
- Log-space harmonic function path planning (2016) (20)
- A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy (2010) (20)
- Event-detecting multi-agent MDPs: complexity and constant-factor approximation (2009) (20)
- Fault-Tolerant Planning under Uncertainty (2013) (19)
- Plan and Activity Recognition from a Topic Modeling Perspective (2014) (18)
- Rounded Dynamic Programming for Tree-Structured Stochastic Network Design (2014) (18)
- Continual planning for search and rescue robots (2015) (18)
- Complexity analysis and optimal algorithms for decentralized decision making (2005) (18)
- Handling Duration Uncertainty in Meta-Level Control of Progressive Processing (1997) (17)
- Meta-Level Control of Anytime Algorithms with Online Performance Prediction (2018) (17)
- Tractability of Planning with Loops (2015) (17)
- Dual Formulations for Optimizing Dec-POMDP Controllers (2016) (17)
- Myopic and Non-myopic Communication under Partial Observability (2009) (16)
- Parameter Learning for Latent Network Diffusion (2013) (16)
- Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation (2011) (16)
- Learning policies for sequential time and cost sensitive classification (2005) (16)
- Ethically Compliant Sequential Decision Making (2021) (16)
- History-Based Controller Design and Optimization for Partially Observable MDPs (2015) (15)
- Optimal Fixed-Size Controllers for Decentralized POMDPs (2006) (15)
- Effects of Alert Cue Specificity on Situation Awareness in Transfer of Control in Level 3 Automation (2017) (15)
- Decentralized language learning through acting (2004) (15)
- MAP Estimation for Graphical Models by Likelihood Maximization (2010) (15)
- A Parallel Point-Based POMDP Algorithm Leveraging GPUs (2015) (15)
- Computing Applicability Conditions for Plans with Loops (2010) (15)
- Resource-bounded reasoning in intelligent systems (1996) (15)
- Efficient Maximization in Solving POMDPs (2005) (15)
- Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving (2007) (14)
- Value-driven information gathering (2002) (14)
- Integrated Cooperation and Competition in Multi-Agent Decision-Making (2018) (14)
- Anytime Heuristic Searc: First Results TITLE2: (1997) (14)
- Optimizing Resilience in Large Scale Networks (2016) (14)
- Solving Markov Decision Problems Using Heuristic Search (1999) (13)
- Reinforcement Learning for Weakly-Coupled MDPs and an Application to Planetary Rover Control (2003) (13)
- Applicability conditions for plans with loops: Computability results and algorithms (2012) (13)
- Adaptive Control of Acyclic Progressive Processing Task Structures (2001) (13)
- Optimization-based approximate dynamic programming (2010) (13)
- Stochastic Network Design in Bidirected Trees (2014) (13)
- Mechanism Design for Communication in Cooperative Systems (2003) (13)
- Adaptive Metareasoning for Bounded Rational Agents (2018) (13)
- Effective cues for accelerating young drivers' time to transfer control following a period of conditional automation. (2017) (13)
- Strategic reasoning about bundling in swarming systems (2009) (12)
- Dynamic Composition of Information Retrieval Techniques (2004) (12)
- Trial-Based Dynamic Programming for Multi-Agent Planning (2010) (12)
- A Model-Free Approach to Meta-Level Control of Anytime Algorithms (2020) (12)
- Exploiting structure in decentralized markov decision processes (2006) (11)
- Decentralized monitoring of distributed anytime algorithms (2011) (11)
- Linear Dynamic Programs for Resource Management (2011) (11)
- Modeling Cooperative Multiagent Problem Solving as Decentralized Decision Processes (2003) (11)
- The utility of planning (1995) (11)
- Learning Heuristic Functions through Approximate Linear Programming (2008) (10)
- Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation (2015) (10)
- Merging example plans into generalized plans for non-deterministic environments (2010) (10)
- Fast SSP Solvers Using Short-Sighted Labeling (2017) (10)
- Optimal scheduling of progressive processing tasks (2000) (10)
- Optimizing Electric Vehicle Charging Through Determinization (2017) (10)
- Effects of a Change in Environment on the Minimum Time to Situation Awareness in Transfer of Control Scenarios (2017) (10)
- Temporal and Object Relations in Unsupervised Plan and Activity Recognition (2015) (9)
- Agent interactions in decentralized environments (2009) (9)
- On Message-Passing, MAP Estimation in Graphical Models and DCOPs (2012) (9)
- Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences (2015) (9)
- Attribute measurement policies for time and cost sensitive classification (2004) (9)
- Value of Communication In Decentralized POMDPs (2009) (9)
- Efficient Algorithms to Optimize Diffusion Processes under the Independent Cascade Model (2015) (9)
- Formal Modeling of Communication Decisions in Cooperative Multi-agent Systems (2004) (9)
- Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems (2020) (8)
- Interaction Structure and Dimensionality Reduction in Decentralized MDPs (2008) (8)
- Safety in AI-HRI: Challenges Complementing User Experience Quality (2016) (8)
- Learning to Generate Fair Clusters from Demonstrations (2021) (7)
- Helpfulness as a Key Metric of Human-Robot Collaboration (2020) (7)
- Learning to Communicate in Decentralized Systems (2005) (7)
- Message-Passing Algorithms for MAP Estimation Using DC Programming (2012) (7)
- Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search (2018) (7)
- Improving Competence for Reliable Autonomy (2020) (6)
- Generalized Controllers in POMDP Decision-Making (2019) (6)
- Interaction Structure and Dimensionality in Decentralized ProblemSolving (2008) (6)
- Fast Combinatorial Algorithm for Optimizing the Spread of Cascades (2015) (6)
- An Integrated Approach to Moral Autonomous Systems (2020) (6)
- Understanding User Attitudes Towards Negative Side Effects of AI Systems (2021) (6)
- Observation Compression in DEC-POMDP Policy Trees (2008) (6)
- Control in a 3D reconstruction system using selective perception (1999) (6)
- Maximizing Plan Legibility in Stochastic Environments (2020) (6)
- Stochastic Network Design for River Networks (2013) (6)
- Approximating reachable belief points in POMDPs (2017) (6)
- Adaptive Outcome Selection for Planning with Reduced Models (2019) (5)
- BOOK REVIEW: "MULTIAGENT SYSTEMS: A MODERN APPROACH TO DISTRIBUTED ARTIFICIAL INTELLIGENCE", GERHARD WEISS (2001) (5)
- A Survey of Opponent Modeling in Adversarial Domains (2022) (5)
- How Robots Can Recognize Activities and Plans Using Topic Models (2014) (5)
- Solving Markov Decision Processes with Partial State Abstractions (2021) (5)
- An Anytime Algorithm for Task and Motion MDPs (2018) (5)
- Robust Optimization for Tree-Structured Stochastic Network Design (2016) (5)
- A unifying framework for observer-aware planning and its complexity (2021) (5)
- Soft Labeling in Stochastic Shortest Path Problems (2019) (5)
- Maximizing Legibility in Stochastic Environments (2021) (5)
- Redesigning Stochastic Environments for Maximized Utility (2017) (5)
- Ethically Compliant Planning within Moral Communities (2021) (5)
- Using Abstraction for Generalized Planning (2008) (5)
- Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach (1994) (4)
- A POMDP Formulation of Proactive Learning (2016) (4)
- Abstract Planning with Unknown Object Quantities and Properties (2009) (4)
- Mitigating Negative Side Effects via Environment Shaping (2021) (4)
- Automated Generation of Understandable Contingency Plans (2003) (4)
- Bounded Rationality in Multiagent Systems Using Decentralized Metareasoning (2012) (4)
- Real-time robot deliberation by compilation and monitoring of anytime algorithms (1994) (4)
- Ethically Compliant Planning in Moral Autonomous Systems (2020) (4)
- Efficient Heuristic Search for Optimal Environment Redesign (2019) (4)
- Skill-based Career Path Modeling and Recommendation (2020) (4)
- Satisfying Social Preferences in Ridesharing Services (2019) (4)
- Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains (2005) (3)
- Planning in Stochastic Environments with Goal Uncertainty (2018) (3)
- Planning Using a Portfolio of Reduced Models (2018) (3)
- Handling Advice in MDPs for Semi-Autonomous Systems (2020) (3)
- Influence Diagrams with Memory States: Representation and Algorithms (2011) (3)
- Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning (2022) (3)
- Finding Plans with Branches , Loops and Preconditions (2009) (3)
- Privacy-Preserving Policy Iteration for Decentralized POMDPs (2018) (3)
- Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach (2020) (3)
- Challenges in Finding Generalized Plans (2009) (3)
- Adaptive therapy strategies: Efficacy and learning framework (2015) (3)
- Language Learning in Multi-Agent Systems (2005) (3)
- Message-passing algorithms for large structured decentralized POMDPs (2011) (3)
- Multi-Agent Planning with Baseline Regret Minimization (2017) (3)
- An anytime computation approach to information gathering (1995) (3)
- Whats Worth Memorizing: Attribute-Based Planning for DEC-POMDPs (2008) (3)
- Agent Influence and Intelligent Approximation in Multiagent Problems (2009) (3)
- Using Metadata to Automate Interpretations of Unsupervised Learning-Derived Clusters (2016) (3)
- On the Benefits of Randomly Adjusting Anytime Weighted A (2021) (3)
- Competence-Aware Path Planning Via Introspective Perception (2021) (2)
- A Sampling-Based Optimization Approach to Handling Environmental Uncertainty for a Planetary Lander (2021) (2)
- Robust Value Function Approximation Using Bilinear Programming (2009) (2)
- The Complexity of Decision-Theoretic Planning for Distributed Agents (2000) (2)
- Generalizing the Role of Determinization in Probabilistic Planning (2017) (2)
- Increasing scalability in algorithms for centralized and decentralized partially observable markov decision processes: efficient decision-making and coordination in uncertain environments (2010) (2)
- Lexicographically Ordered Multi-Objective Clustering (2019) (2)
- Optimal Decision with Continuous Actions (2004) (2)
- Satisficing and bounded optimality A position paper (1998) (2)
- Dynamic Scheduling of Progressive Processing Plans (2000) (2)
- Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs (2013) (2)
- Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models (2019) (2)
- Tuning the Hyperparameters of Anytime Planning: A Deep Reinforcement Learning Approach (2021) (2)
- The Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04) (2004) (2)
- Reports of the 2018 AAAI Fall Symposium (2019) (2)
- Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design (2020) (2)
- Using Metareasoning to Maintain and Restore Safety for Reliably Autonomy (2021) (2)
- Special issue on computational tradeoffs under bounded resources (1998) (2)
- Heuristic Policy Iteration for Infinite-Horizon Decentralized POMDPs (2008) (2)
- Monitoring the Progress of Anyti (1996) (2)
- Cost and Information-Driven Algorithm Selection for Vision Systems (2004) (1)
- Automated Interpretations of Unsupervised Learning-Derived Clusters for Activity Recognition (2015) (1)
- Belief-Space Planning for Automated Malware Defense (2018) (1)
- Resource-Bounded Sensing and Planning in Robotic Systems (1996) (1)
- Control of Mobile Robots Using Anytime Computation (1992) (1)
- Safe Reduced Models for Probabilistic Planning (2018) (1)
- Communication in Multi-Agent Markov Decision Processes TITLE2: (2000) (1)
- Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. (2006) (1)
- Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games (2018) (1)
- Avoiding Negative Side Effects of Autonomous Systems in the Open World (2022) (1)
- Agent-Aware State Estimation: Effective Traffic Light Classification for Autonomous Vehicles (2020) (1)
- Responsive Planning and Recognition for Closed-Loop Interaction (2019) (1)
- Metareasoning for Safe Decision Making in Autonomous Systems (2022) (1)
- Are experienced drivers quicker to regain full situation awareness in scenarios involving transfer of control from the automation to the driver (2016) (1)
- Policy Networks for Reasoning in Long-Term Autonomy (2018) (1)
- Temporal and Object Relations in Plan and Activity Recognition for Robots Using Topic Models (2014) (1)
- A Successive Approximation Algorithm for Coordination Problems (2008) (1)
- Racial Equity and the Future of Work (2020) (1)
- Mixed-Initiative Decision Theoretic Planning for Cooperative Control (2009) (1)
- Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning (2022) (1)
- Automated conversion and simplification of plan representations (2004) (1)
- Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs (2022) (1)
- Improving Competence via Iterative State Space Refinement (2021) (1)
- Decision-theoretic meta-reasoning in partially observable and decentralized settings (2012) (1)
- Optimizing Fixed-Size Stochastic Controllers for POMDPs (2007) (1)
- Using Natural Language Constructs and Concepts to Aid Network Management (2019) (1)
- The 1996 Fall Symposium Series (1997) (0)
- Planning with Intermittent State Observability: Knowing When to Act Blind (2022) (0)
- NASA GSRP TRAINING GRANT FINAL SUMMARY OF RESEARCH Grant Title: A Decision-Theoretic Approach to Autonomous Planetary Rover Control #NGT 2-52276 (2004) (0)
- Decision-Theoretic Foundations for Multi-Agent Systems (2011) (0)
- Automated Generation of Interaction Graphs for Value-Factored Decentralized POMDPs (2013) (0)
- Teaching Graduate-Level Artificial Intelligence Position Paper (2001) (0)
- 1 APPROXIMATE REASONING USING ANYTIME ALGORITHMS (1994) (0)
- The role of representation and abstraction in stochastic planning (2005) (0)
- Learning Feature-Based Heuristic Functions (2012) (0)
- Heuristic Search : First (1997) (0)
- Global Optimization for Value Function Approximation (2010) (0)
- Dense Crowd Flow-Informed Path Planning (2022) (0)
- Competence-aware systems (2022) (0)
- Planning Using a Portfolio of Reduced Models Extended Abstract (2018) (0)
- Does the Human's Representation Matter for Unsupervised Activity Recognition? (2017) (0)
- Realtime Concurrent Planning and Plan Execution in Stochastic Domains (2015) (0)
- Preface (2006) (0)
- Optimal Sequencing of Contract Algorithms Using Multiple Processors TITLE2 (2000) (0)
- Efficient Integration of Complementary Solvers for Quantum Circuit Compilation (2020) (0)
- A Unifying Framework for Causal Explanation of Sequential Decision Making (2022) (0)
- 3 Metareasoning and Bounded Rationality (2012) (0)
- Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), June 3-7 2004, Whistler, British Columbia, Canada (2004) (0)
- A Sampling Based Approach to Robust Planning for a Planetary Lander (2022) (0)
- From HTML to usable data Problems in meaning and credibility in the WWW * Position paper (2003) (0)
- Optimizing Resource Utilization in Planetary Rovers (2013) (0)
- Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL (2022) (0)
- A Value-driven Approach to Scheduling Information Gathering TITLE2: (1998) (0)
- DEC: A Distributed Enterprising Computing System (1995) (0)
- Gathering Information Based on its Value (2007) (0)
- Computing Applicability Conditions for Plans with Loops : New Results ? (2010) (0)
- Multi-agent Planning with High-Level Human Guidance (2020) (0)
- A PDDL Representation for Contradance Composition (2017) (0)
- Approximating Reachable Belief Points in POMDPs with Applications to Robotic Navigation and Localization (2017) (0)
- Causal Explanations for Sequential Decision Making Under Uncertainty (2022) (0)
- Improving Type Recognition in Stochastic Environments using Redesign (2016) (0)
- Automation, Work, and Racial Equity (2019) (0)
- Agent-Aware State Estimation in Autonomous Vehicles (2021) (0)
- Planning Information Gathering Under Uncertainty TITLE2 (1997) (0)
- The Value of Communication in Decentralized Planning and Control (2006) (0)
- Minimizing the Negative Side Effects of Planning with Reduced Models (2019) (0)
- Trajectory Constraint Heuristics for Optimal Probabilistic Planning (2022) (0)
- Creating generalized procedures by demonstration (2010) (0)
- Adaptive Optimization Techniques for Large-Scale Stochastic Planning (2011) (0)
- A Decision-Theoretic Approach to Autonomous Planetary Rover Control (2004) (0)
- The Value of Incorporating Social Preferences in Dynamic Ridesharing (2019) (0)
- Reports on the AAAI Spring Symposia (March 1999) (2000) (0)
- Flexible computation: Results, issues, and opportunities (1997) (0)
- An anytime computation approach to information gatheringShlomo (1995) (0)
- Self-Directed Cooperative Planetary Rovers (2003) (0)
- New Algorithms for Collaborative and Adversarial Decision Making in Partially Observable Stochastic Games (2009) (0)
- Stochastic multi-agent planning with partial state models (2019) (0)
- Termination and Correctness Analysis of Cyclic Control (2011) (0)
- Solving Efficiently DEC-MDPs with Temporal Constraints (0)
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