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Leslie Kaelbling
Leslie Kaelbling
Unknown affiliation
Verified email at csail.mit.edu
Title
Cited by
Cited by
Year
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
98851996
Planning and acting in partially observable stochastic domains
LP Kaelbling, ML Littman, AR Cassandra
Artificial intelligence 101 (1-2), 99-134, 1998
49011998
Learning policies for partially observable environments: Scaling up
ML Littman, AR Cassandra, LP Kaelbling
Machine Learning Proceedings 1995, 362-370, 1995
9211995
Acting optimally in partially observable stochastic domains
AR Cassandra, LP Kaelbling, ML Littman
Aaai 94, 1023-1028, 1994
9211994
Learning in embedded systems
LP Kaelbling
MIT press, 1993
9071993
Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation
AR Cassandra, LP Kaelbling, JA Kurien
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and …, 1996
7501996
On the complexity of solving Markov decision problems
ML Littman, TL Dean, LP Kaelbling
arXiv preprint arXiv:1302.4971, 2013
7032013
Hierarchical planning in the now
LP Kaelbling, T Lozano-Pérez
Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
6582010
Effective reinforcement learning for mobile robots
WD Smart, LP Kaelbling
Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002
5482002
An architecture for intelligent reactive systems
LP Kaelbling
Reasoning about actions and plans, 395-410, 1987
4941987
The synthesis of digital machines with provable epistemic properties
SJ Rosenschein, LP Kaelbling
Theoretical aspects of reasoning about knowledge, 83-98, 1986
4811986
Integrated task and motion planning in belief space
LP Kaelbling, T Lozano-Pérez
The International Journal of Robotics Research 32 (9-10), 1194-1227, 2013
4002013
Generalization in deep learning
K Kawaguchi, LP Kaelbling, Y Bengio
arXiv preprint arXiv:1710.05468, 2017
3972017
Hierarchical solution of Markov decision processes using macro-actions
M Hauskrecht, N Meuleau, LP Kaelbling, TL Dean, C Boutilier
arXiv preprint arXiv:1301.7381, 2013
3912013
Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons.
D Chapman, LP Kaelbling
Ijcai 91, 726-731, 1991
3871991
Learning to cooperate via policy search
L Peshkin, KE Kim, N Meuleau, LP Kaelbling
arXiv preprint cs/0105032, 2001
3802001
Belief space planning assuming maximum likelihood observations
R Platt Jr, R Tedrake, L Kaelbling, T Lozano-Perez
3762010
Action and planning in embedded agents
LP Kaelbling, SJ Rosenschein
Robotics and autonomous systems 6 (1-2), 35-48, 1990
3601990
Practical reinforcement learning in continuous spaces
WD Smart, LP Kaelbling
ICML, 903-910, 2000
3482000
Planning under time constraints in stochastic domains
T Dean, LP Kaelbling, J Kirman, A Nicholson
Artificial Intelligence 76 (1-2), 35-74, 1995
3461995
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