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Leslie P. Kaelbling
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#	Item
1	State Discovery for Autonomous Learning by Yuri A. Ivanov M.S., Computer Science and Electrical Engineering State Academy of Air and Space Instrumentation, St. Petersburg, Russia Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2003-06-27 16:43:46 Alex Pentland Aaron Bobick Leslie P. Kaelbling Doctorate Massachusetts Institute of Technology Thesis Education Knowledge Academia
2	Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-13 11:20:11 Systems theory Mathematical optimization Markov processes Stochastic control Multi-agent systems Partially observable Markov decision process Automated planning and scheduling Markov decision process Action selection Statistics Dynamic programming Control theory
3	Data Assocation for Semantic World Modeling from Partial Views Lawson L.S. Wong, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez Abstract Autonomous mobile-manipulation robots need to sense and interact with objects to Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2013-10-24 18:53:08 Dirichlet process Sampling Level of measurement Mixture model Statistics Cluster analysis Machine learning
4	Predicting Partial Paths from Planning Problem Parameters Sarah Finney, Leslie Kaelbling, Tom´as Lozano-P´erez CSAIL, MIT email: sjf,lpk,[removed] Abstract— Many robot motion planning problems can be Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:39 Regression analysis Econometrics Motion planning Theoretical computer science Probabilistic roadmap Linear regression Degrees of freedom Nonlinear regression Robotics Statistics Physics Robot kinematics
5	Pre-image backchaining in belief space for mobile manipulation Leslie Pack Kaelbling and Tom´as Lozano-P´erez 1 Introduction As robots become more physically robust and capable of sophisticated sensing, navigation, and Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:45 Epistemology Motion planning Theoretical computer science Robot
6	Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— In this paper, we describe an integrated strategy for planning, pe Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:18:09 Motion planning Theoretical computer science Pose Occupancy grid mapping Robot Partially observable Markov decision process Artificial intelligence Fluent Causality Computer vision Statistics Applied mathematics
7	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2012-06-11 20:17:47 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
8	DetH: Approximate Hierarchical Solution of Large Markov Decision Processes∗ Jennifer L. Barry, Leslie Pack Kaelbling, Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02 Add to Reading List Source URL: people.csail.mit.edu Language: English* - Date: 2011-09-29 15:55:17 Dynamic programming Markov processes Stochastic control Optimal control Markov decision process Reinforcement learning Function Macro Automated planning and scheduling Statistics Control theory Mathematics
9	Robust Belief-Based Execution of Manipulation Programs Kaijen Hsiao, Tom´ as Lozano-P´erez, and Leslie Pack Kaelbling Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, {kjh Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-12-03 20:20:17 Stochastic control Dynamical system Motion planning Robot Kinematics Normal distribution Mobile robot Statistics Dynamic programming Partially observable Markov decision process
10	Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-05-17 16:00:47 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics

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