Leslie Kaelbling
Leslie Kaelbling
Unknown affiliation
Verified email at csail.mit.edu
TitleCited byYear
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
Planning and acting in partially observable stochastic domains
LP Kaelbling, ML Littman, AR Cassandra
Artificial intelligence 101 (1-2), 99-134, 1998
Learning in embedded systems
LP Kaelbling
MIT press, 1993
Acting optimally in partially observable stochastic domains
AR Cassandra, LP Kaelbling, ML Littman
AAAI 94, 1023-1028, 1994
Learning policies for partially observable environments: Scaling up
ML Littman, AR Cassandra, LP Kaelbling
Machine Learning Proceedings 1995, 362-370, 1995
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
On the complexity of solving Markov decision problems
ML Littman, TL Dean, LP Kaelbling
arXiv preprint arXiv:1302.4971, 2013
An architecture for intelligent reactive systems
LP Kaelbling
Reasoning about actions and plans, 395-410, 1987
The synthesis of digital machines with provable epistemic properties
SJ Rosenschein, LP Kaelbling
Theoretical aspects of reasoning about knowledge, 83-98, 1986
Effective reinforcement learning for mobile robots
WD Smart, LP Kaelbling
Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002
Hierarchical planning in the now
LP Kaelbling, T Lozano-Pérez
Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons.
D Chapman, LP Kaelbling
IJCAI 91, 726-731, 1991
Action and planning in embedded agents
LP Kaelbling, SJ Rosenschein
Robotics and autonomous systems 6 (1-2), 35-48, 1990
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
Learning to cooperate via policy search
L Peshkin, KE Kim, N Meuleau, LP Kaelbling
arXiv preprint cs/0105032, 2001
Planning under time constraints in stochastic domains
T Dean, LP Kaelbling, J Kirman, A Nicholson
Artificial Intelligence 76 (1-2), 35-74, 1995
To transfer or not to transfer
MT Rosenstein, Z Marx, LP Kaelbling, TG Dietterich
NIPS 2005 workshop on transfer learning 898, 1-4, 2005
Practical reinforcement learning in continuous spaces
WD Smart, LP Kaelbling
ICML, 903-910, 2000
Learning topological maps with weak local odometric information
H Shatkay, LP Kaelbling
IJCAI (2), 920-929, 1997
Planning With Deadlines in Stochastic Domains.
TL Dean, LP Kaelbling, J Kirman, AE Nicholson
AAAI 93, 574-579, 1993
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