D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 9,517 171 World Ranking 3514 National Ranking 1807

Research.com Recognitions

Awards & Achievements

2019 - AAAI Distinguished Service Award For his sustained and conscientious service and leadership both to AAAI as a councilor and conference committee chair, and to the broader AI community, as the president of ICAPS.

2011 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to decision-theoretic reasoning, resource-bounded reasoning, automated planning, decentralized decision making and multiagent systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Shlomo Zilberstein mainly investigates Mathematical optimization, Markov decision process, Decentralised system, Dynamic programming and Partially observable Markov decision process. His work in the fields of Mathematical optimization, such as Incremental heuristic search, intersects with other areas such as Scalability. The various areas that Shlomo Zilberstein examines in his Markov decision process study include Function and Heuristic.

The study incorporates disciplines such as NEXPTIME, Distributed computing and Decision problem in addition to Decentralised system. His research in Dynamic programming focuses on subjects like Computation, which are connected to Bayesian network and Exploit. His Partially observable Markov decision process research includes elements of Representation and Nondeterministic algorithm.

His most cited work include:

  • The Complexity of Decentralized Control of Markov Decision Processes (812 citations)
  • Using anytime algorithms in intelligent systems (583 citations)
  • Dynamic programming for partially observable stochastic games (359 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Mathematical optimization, Artificial intelligence, Markov decision process, Partially observable Markov decision process and Algorithm. His work in the fields of Dynamic programming overlaps with other areas such as Scalability and Observable. Shlomo Zilberstein combines subjects such as Quality, Machine learning, Distributed computing and Plan with his study of Artificial intelligence.

His studies deal with areas such as Multi-agent system and Heuristic as well as Markov decision process. His research integrates issues of Control theory, Decision theory and Decentralised system in his study of Partially observable Markov decision process. The concepts of his Algorithm study are interwoven with issues in Range, Control and Message passing.

He most often published in these fields:

  • Mathematical optimization (41.72%)
  • Artificial intelligence (21.38%)
  • Markov decision process (18.62%)

What were the highlights of his more recent work (between 2018-2021)?

  • Human–computer interaction (4.14%)
  • Markov decision process (18.62%)
  • Mathematical optimization (41.72%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Human–computer interaction, Markov decision process, Mathematical optimization, Autonomy and Artificial intelligence. Shlomo Zilberstein works mostly in the field of Human–computer interaction, limiting it down to topics relating to Variety and, in certain cases, Closed loop, Intelligent decision support system and Dimension. His study on Partially observable Markov decision process is often connected to Imperfect as part of broader study in Markov decision process.

Shlomo Zilberstein has included themes like Graphical model, Control theory, Decision-making models and Approximation algorithm in his Partially observable Markov decision process study. His study in the field of Heuristics also crosses realms of Objective approach. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Multi-agent planning.

Between 2018 and 2021, his most popular works were:

  • A Multi-Objective Approach to Mitigate Negative Side Effects (8 citations)
  • Balancing the Tradeoff Between Clustering Value and Interpretability (6 citations)
  • Belief Space Metareasoning for Exception Recovery (5 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Shlomo Zilberstein focuses on Human–computer interaction, Autonomy, Competence, Risk analysis and Introspection. His research links Plan with Human–computer interaction. Autonomy is integrated with Space, Artificial intelligence, Set and Domain in his research.

Shlomo Zilberstein integrates several fields in his works, including Competence, State representation, Exploit and Overall performance. His work in Risk analysis incorporates the disciplines of Objective approach, Fidelity, Ai systems, Reliability and Autonomous agent. Introspection is connected with Robot and Markov decision process in his research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Complexity of Decentralized Control of Markov Decision Processes

Daniel S. Bernstein;Robert Givan;Neil Immerman;Shlomo Zilberstein.
Mathematics of Operations Research (2002)

1484 Citations

Using anytime algorithms in intelligent systems

Shlomo Zilberstein.
Ai Magazine (1996)

902 Citations

LAO: a heuristic search algorithm that finds solutions with loops

Eric A. Hansen;Shlomo Zilberstein.
Artificial Intelligence (2001)

534 Citations

Dynamic programming for partially observable stochastic games

Eric A. Hansen;Daniel S. Bernstein;Shlomo Zilberstein.
national conference on artificial intelligence (2004)

531 Citations

Solving transition independent decentralized Markov decision processes

Raphen Becker;Shlomo Zilberstein;Victor Lesser;Claudia V. Goldman.
Journal of Artificial Intelligence Research (2004)

436 Citations

The complexity of decentralized control of Markov decision processes

Daniel S. Bernstein;Shlomo Zilberstein;Neil Immerman.
uncertainty in artificial intelligence (2000)

365 Citations

Decentralized control of cooperative systems: categorization and complexity analysis

Claudia V. Goldman;Shlomo Zilberstein.
Journal of Artificial Intelligence Research (2004)

340 Citations

Optimizing information exchange in cooperative multi-agent systems

Claudia V. Goldman;Shlomo Zilberstein.
adaptive agents and multi-agents systems (2003)

301 Citations

Optimal composition of real-time systems

Shlomo Zilberstein;Stuart Russell.
Artificial Intelligence (1996)

295 Citations

Communication decisions in multi-agent cooperation: model and experiments

Ping Xuan;Victor Lesser;Shlomo Zilberstein.
adaptive agents and multi-agents systems (2001)

283 Citations

Best Scientists Citing Shlomo Zilberstein

Victor Lesser

Victor Lesser

University of Massachusetts Amherst

Publications: 68

Milind Tambe

Milind Tambe

Harvard University

Publications: 68

Jonathan P. How

Jonathan P. How

MIT

Publications: 34

Edmund H. Durfee

Edmund H. Durfee

University of Michigan–Ann Arbor

Publications: 32

Hector Geffner

Hector Geffner

Pompeu Fabra University

Publications: 31

Sarit Kraus

Sarit Kraus

Bar-Ilan University

Publications: 29

Brahim Chaib-draa

Brahim Chaib-draa

Université Laval

Publications: 28

Makoto Yokoo

Makoto Yokoo

Kyushu University

Publications: 26

Peter Stone

Peter Stone

The University of Texas at Austin

Publications: 24

Leslie Pack Kaelbling

Leslie Pack Kaelbling

MIT

Publications: 24

Nicholas R. Jennings

Nicholas R. Jennings

Loughborough University

Publications: 22

Tuomas Sandholm

Tuomas Sandholm

Carnegie Mellon University

Publications: 22

Sebastian Thrun

Sebastian Thrun

Stanford University

Publications: 20

Eamonn Keogh

Eamonn Keogh

University of California, Riverside

Publications: 20

Shimon Whiteson

Shimon Whiteson

University of Oxford

Publications: 19

Manuela Veloso

Manuela Veloso

Carnegie Mellon University

Publications: 18

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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