Leslie Kaelbling
Leslie Kaelbling
Onbekend partnerschap
Geverifieerd e-mailadres voor csail.mit.edu
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Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
83981996
Planning and acting in partially observable stochastic domains
LP Kaelbling, ML Littman, AR Cassandra
Artificial intelligence 101 (1-2), 99-134, 1998
42371998
Learning in embedded systems
LP Kaelbling
MIT press, 1993
8591993
Acting optimally in partially observable stochastic domains
AR Cassandra, LP Kaelbling, ML Littman
Aaai 94, 1023-1028, 1994
8371994
Learning policies for partially observable environments: Scaling up
ML Littman, AR Cassandra, LP Kaelbling
Machine Learning Proceedings 1995, 362-370, 1995
8221995
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
7021996
On the complexity of solving Markov decision problems
ML Littman, TL Dean, LP Kaelbling
arXiv preprint arXiv:1302.4971, 2013
6192013
Hierarchical task and motion planning in the now
LP Kaelbling, T Lozano-Pérez
2011 IEEE International Conference on Robotics and Automation, 1470-1477, 2011
5212011
Effective reinforcement learning for mobile robots
WD Smart, LP Kaelbling
Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002
4902002
An architecture for intelligent reactive systems
LP Kaelbling
Reasoning about actions and plans, 395-410, 1987
4671987
The synthesis of digital machines with provable epistemic properties
SJ Rosenschein, LP Kaelbling
Theoretical aspects of reasoning about knowledge, 83-98, 1986
4561986
To transfer or not to transfer
MT Rosenstein, Z Marx, LP Kaelbling, TG Dietterich
NIPS 2005 workshop on transfer learning 898, 1-4, 2005
4132005
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
3652013
Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons.
D Chapman, LP Kaelbling
IJCAI 91, 726-731, 1991
3641991
Learning to cooperate via policy search
L Peshkin, KE Kim, N Meuleau, LP Kaelbling
arXiv preprint cs/0105032, 2001
3542001
Action and planning in embedded agents
LP Kaelbling, SJ Rosenschein
Robotics and autonomous systems 6 (1-2), 35-48, 1990
3351990
Planning under time constraints in stochastic domains
T Dean, LP Kaelbling, J Kirman, A Nicholson
Artificial Intelligence 76 (1-2), 35-74, 1995
3291995
Practical reinforcement learning in continuous spaces
WD Smart, LP Kaelbling
ICML, 903-910, 2000
3232000
Belief space planning assuming maximum likelihood observations
R Platt Jr, R Tedrake, L Kaelbling, T Lozano-Perez
3162010
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
3052013
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Artikelen 1–20