| Reinforcement learning: A survey LP Kaelbling, ML Littman, AW Moore Journal of artificial intelligence research 4, 237-285, 1996 | 9885 | 1996 |
| Planning and acting in partially observable stochastic domains LP Kaelbling, ML Littman, AR Cassandra Artificial intelligence 101 (1-2), 99-134, 1998 | 4901 | 1998 |
| Learning policies for partially observable environments: Scaling up ML Littman, AR Cassandra, LP Kaelbling Machine Learning Proceedings 1995, 362-370, 1995 | 921 | 1995 |
| Acting optimally in partially observable stochastic domains AR Cassandra, LP Kaelbling, ML Littman Aaai 94, 1023-1028, 1994 | 921 | 1994 |
| Learning in embedded systems LP Kaelbling MIT press, 1993 | 907 | 1993 |
| 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 | 750 | 1996 |
| On the complexity of solving Markov decision problems ML Littman, TL Dean, LP Kaelbling arXiv preprint arXiv:1302.4971, 2013 | 703 | 2013 |
| Hierarchical planning in the now LP Kaelbling, T Lozano-Pérez Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010 | 658 | 2010 |
| Effective reinforcement learning for mobile robots WD Smart, LP Kaelbling Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002 | 548 | 2002 |
| An architecture for intelligent reactive systems LP Kaelbling Reasoning about actions and plans, 395-410, 1987 | 494 | 1987 |
| The synthesis of digital machines with provable epistemic properties SJ Rosenschein, LP Kaelbling Theoretical aspects of reasoning about knowledge, 83-98, 1986 | 481 | 1986 |
| 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 | 400 | 2013 |
| Generalization in deep learning K Kawaguchi, LP Kaelbling, Y Bengio arXiv preprint arXiv:1710.05468, 2017 | 397 | 2017 |
| 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 | 391 | 2013 |
| Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. D Chapman, LP Kaelbling Ijcai 91, 726-731, 1991 | 387 | 1991 |
| Learning to cooperate via policy search L Peshkin, KE Kim, N Meuleau, LP Kaelbling arXiv preprint cs/0105032, 2001 | 380 | 2001 |
| Belief space planning assuming maximum likelihood observations R Platt Jr, R Tedrake, L Kaelbling, T Lozano-Perez | 376 | 2010 |
| Action and planning in embedded agents LP Kaelbling, SJ Rosenschein Robotics and autonomous systems 6 (1-2), 35-48, 1990 | 360 | 1990 |
| Practical reinforcement learning in continuous spaces WD Smart, LP Kaelbling ICML, 903-910, 2000 | 348 | 2000 |
| Planning under time constraints in stochastic domains T Dean, LP Kaelbling, J Kirman, A Nicholson Artificial Intelligence 76 (1-2), 35-74, 1995 | 346 | 1995 |
