2000 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For seminal contributions to situated agents, machine learning, planning and mobile robotics.
His primary areas of investigation include Artificial intelligence, Mathematical optimization, Markov decision process, Partially observable Markov decision process and Reinforcement learning. His Artificial intelligence research includes elements of Machine learning, State space and Action. His Mathematical optimization research incorporates elements of Space, State variable and Underactuation.
His studies deal with areas such as Collision and Control theory as well as Markov decision process. He interconnects Algorithm and Robot learning in the investigation of issues within Reinforcement learning. His biological study spans a wide range of topics, including Instance-based learning, Algorithmic learning theory and Social robot.
His main research concerns Artificial intelligence, Robot, Mathematical optimization, Motion planning and Task. His study looks at the relationship between Artificial intelligence and fields such as Machine learning, as well as how they intersect with chemical problems. His research on Robot also deals with topics like
Leslie Pack Kaelbling has researched Mathematical optimization in several fields, including Markov decision process and Set. His Motion planning research is multidisciplinary, incorporating elements of Theoretical computer science and Mobile robot. His study in Task is interdisciplinary in nature, drawing from both Representation and State.
Leslie Pack Kaelbling mainly focuses on Artificial intelligence, Robot, Task, Motion planning and Artificial neural network. His Artificial intelligence study frequently links to other fields, such as Machine learning. His Robot research includes elements of Object, Sequence, Task analysis and Human–computer interaction.
His Task study combines topics from a wide range of disciplines, such as Operator, Class, Representation, State and Variety. His Motion planning study integrates concerns from other disciplines, such as Workspace and Active learning. His Artificial neural network study also includes
Leslie Pack Kaelbling focuses on Robot, Artificial neural network, Artificial intelligence, Algorithm and Task. His Robot research incorporates elements of Object, Sequence and Task analysis. His Artificial neural network research also works with subjects such as
His Artificial intelligence research incorporates themes from Generalization and Set. Leslie Pack Kaelbling combines subjects such as Robot learning, Image and Constant with his study of Algorithm. His work carried out in the field of Task brings together such families of science as State and Motion planning.
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Reinforcement learning: a survey
Leslie Pack Kaelbling;Michael L. Littman;Andrew W. Moore.
Journal of Artificial Intelligence Research (1996)
Planning and Acting in Partially Observable Stochastic Domains
Leslie Pack Kaelbling;Michael L. Littman;Anthony R. Cassandra.
Artificial Intelligence (1998)
Learning in Embedded Systems
Nils J. Nilsson;Leslie Pack Kaelbling.
Learning policies for partially observable environments: scaling up
Michael L. Littman;Anthony R. Cassandra;Leslie Pack Kaelbling.
international conference on machine learning (1997)
Acting Optimally in Partially Observable Stochastic Domains
Anthony R. Cassandra;Leslie Pack Kaelbling;Michael L. Littman.
national conference on artificial intelligence (1994)
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation
A.R. Cassandra;L.P. Kaelbling;J.A. Kurien.
intelligent robots and systems (1996)
Hierarchical Planning in the Now
Leslie Pack Kaelbling;Tomás Lozano-Pérez.
national conference on artificial intelligence (2010)
Hierarchical task and motion planning in the now
Leslie Pack Kaelbling;Tomas Lozano-Perez.
international conference on robotics and automation (2011)
Exact and approximate algorithms for partially observable markov decision processes
Leslie Pack Kaelbling;Anthony Rocco Cassandra.
On the complexity of solving Markov decision problems
Michael L. Littman;Thomas L. Dean;Leslie Pack Kaelbling.
uncertainty in artificial intelligence (1995)
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