2026 Leslie Pack Kaelbling: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	74	1448	1403	753	725	370	40111

Research.com Recognitions

2000 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For seminal contributions to situated agents, machine learning, planning and mobile robotics.

Overview

Leslie Pack Kaelbling is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research primarily spans the domain of computer science, with a particular concentration in artificial intelligence and its various subfields.

The main fields of study for Leslie Pack Kaelbling include:

Computer Science

Within computer science, the subfields of study are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Control and Systems Engineering
Computer Networks and Communications
Aerospace Engineering

Their research topics cover a range of specialized areas, including:

AI-based Problem Solving and Planning
Reinforcement Learning in Robotics
Robotic Path Planning Algorithms
Machine Learning and Algorithms
Robot Manipulation and Learning
Topic Modeling
Multimodal Machine Learning Applications

Leslie Pack Kaelbling has contributed to numerous publications across several respected venues. Frequent publication venues include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the International Conference on Automated Planning and Scheduling
The International Journal of Robotics Research
2022 International Conference on Robotics and Automation (ICRA)

Selected recent publications are as follows:

PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning, 2020, Proceedings of the International Conference on Automated Planning and Scheduling
Learning compositional models of robot skills for task and motion planning, 2021, The International Journal of Robotics Research
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Generalized Planning in PDDL Domains with Pretrained Large Language Models, 2024, Proceedings of the AAAI Conference on Artificial Intelligence
The foundation of efficient robot learning, 2020, Science

Frequent co-authors collaborating with Leslie Pack Kaelbling include:

Tomás Lozano-Pérez
Tom Silver
Joshua B. Tenenbaum
Rohan Chitnis
Aidan Curtis

Leslie Pack Kaelbling has been recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) since 2000 for contributions in situated agents, machine learning, planning, and mobile robotics.

Best Publications

Reinforcement learning: a survey

Leslie Pack Kaelbling;Michael L. Littman;Andrew W. Moore

11496
Citations
Planning and Acting in Partially Observable Stochastic Domains

Leslie Pack Kaelbling;Michael L. Littman;Anthony R. Cassandra

5379
Citations
Learning policies for partially observable environments: scaling up

Michael L. Littman;Anthony R. Cassandra;Leslie Pack Kaelbling

971
Citations
Acting Optimally in Partially Observable Stochastic Domains

Anthony R. Cassandra;Leslie Pack Kaelbling;Michael L. Littman

928
Citations
Learning in Embedded Systems

Nils J. Nilsson;Leslie Pack Kaelbling

921
Citations
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation

A.R. Cassandra;L.P. Kaelbling;J.A. Kurien

749
Citations
Hierarchical task and motion planning in the now

Leslie Pack Kaelbling;Tomas Lozano-Perez

654
Citations
Hierarchical Planning in the Now

Leslie Pack Kaelbling;Tomás Lozano-Pérez

613
Citations
On the complexity of solving Markov decision problems

Michael L. Littman;Thomas L. Dean;Leslie Pack Kaelbling

559
Citations
Exact and approximate algorithms for partially observable markov decision processes

Leslie Pack Kaelbling;Anthony Rocco Cassandra

554
Citations
An Architecture for Intelligent Reactive Systems

Leslie Pack Kaelbling

514
Citations
The synthesis of digital machines with provable epistemic properties

Stanley J. Rosenschein;Leslie Pack Kaelbling

477
Citations
Effective reinforcement learning for mobile robots

Unknown

462
Citations
Integrated task and motion planning in belief space

Leslie Pack Kaelbling;Tomás Lozano-Pérez

432
Citations
Input generalization in delayed reinforcement learning: an algorithm and performance comparisons

David Chapman;Leslie Pack Kaelbling

404
Citations
Belief space planning assuming maximum likelihood observations

Robert Platt;Russell Louis Tedrake;Leslie P. Kaelbling;Tomas Lozano-Perez

391
Citations
Learning to cooperate via policy search

Leonid Peshkin;Kee-Eung Kim;Nicolas Meuleau;Leslie Pack Kaelbling

374
Citations
Action and planning in embedded agents

Leslie Pack Kaelbling;Stanley J. Rosenschein

360
Citations
Generalization in Deep Learning

Kenji Kawaguchi;Leslie Pack Kaelbling;Yoshua Bengio

359
Citations
Practical Reinforcement Learning in Continuous Spaces

William D. Smart;Leslie Pack Kaelbling

355
Citations
Learning to Achieve Goals

Leslie Pack Kaelbling

322
Citations

Frequent Co-Authors

Tomas Lozano-Perez MIT

Michael L. Littman Brown University

Thomas Dean Google (United States)

George Konidaris Brown University

Luke Zettlemoyer University of Washington

Alberto Rodriguez MIT

Joshua B. Tenenbaum MIT

Jonathan P. How MIT

Wee Sun Lee National University of Singapore

Jiajun Wu Stanford University

External Links

Wikipedia of Leslie Pack Kaelbling Personal website of Leslie Pack Kaelbling Google Scholar page

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