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Stochastic control
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#	Item
521	Envelope-based Planning in Relational MDPs Natalia H. Gardiol MIT AI Lab Cambridge, MA[removed]removed] Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:55 Stochastic control Computing Partially observable Markov decision process Reinforcement learning Automated planning and scheduling FO SQL Blocks world Statistics Dynamic programming Markov processes
522	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-06-04 04:19:00 Estimation theory Optimal control Stochastic control Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Systems theory Cybernetics
523	Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning Paulina Varshavskaya, Leslie Pack Kaelbling and Daniela Rus Computer Science and AI Laboratory Massachusetts Institute of Technolog Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-09-07 17:21:08 Stochastic control Reinforcement learning Computational neuroscience Partially observable Markov decision process Machine learning Markov decision process Q-learning Self-reconfiguring modular robot SARSA Statistics Dynamic programming Markov processes
524	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]July 3, 2012 Add to Reading List Source URL: dspace.mit.edu Language: English - Date: 2012-07-04 02:02:59 Cognition Dynamic programming Partially observable Markov decision process Stochastic control Robot navigation Motion planning Automated planning and scheduling Robotic mapping Free will Statistics Science Knowledge
525	Nearly Deterministic Abstractions of Markov Decision Processes Terran Lane and Leslie Pack Kaelbling MIT Artificial Intelligence Laboratory 200 Technology Square Cambridge, MA 02139 {terran,lpk}@ai.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:51 Dynamic programming Stochastic control Markov models Markov decision process Operations research Reinforcement learning Automated planning and scheduling Travelling salesman problem Stochastic Statistics Markov processes Probability and statistics
526	The Construction Process: Once a contractor has been selected for your group, you will be contacted by the City to inform you which contractor was selected to perform the work for RSI Improvements and provide you with th Add to Reading List Source URL: www.elsegundo.org Language: English - Date: 2012-04-18 13:13:58 Control theory Optimal control Stochastic control
527	Grasping POMDPs Kaijen Hsiao and Leslie Pack Kaelbling and Tom´as Lozano-P´erez Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-03-08 12:09:00 Stochastic control Partially observable Markov decision process Procedural programming languages Lisp programming language Markov decision process ALGOL 68 Automated planning and scheduling Motion planning Cons Statistics Dynamic programming Markov processes
528	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: 2012-06-11 20:17:02 Dynamic programming Markov processes Stochastic control Network theory Markov decision process Reinforcement learning Symbol Algorithm Shortest path problem Statistics Mathematics Applied mathematics
529	Representing hierarchical POMDPs as DBNs for multi-scale robot localization Georgios Theocharous Kevin Murphy Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:54 Dynamic programming Stochastic control Hierarchical hidden Markov model Hidden Markov model Partially observable Markov decision process Expectation–maximization algorithm Markov decision process Algorithm Markov chain Statistics Markov processes Markov models
530	All learning is local: Multi-agent learning in global reward games Yu-Han Chang MIT CSAIL Cambridge, MA 02139 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2004-07-01 07:47:52 Markov processes Stochastic control Robot control Reinforcement learning Q-learning Markov decision process Kalman filter Multi-armed bandit Machine learning Statistics Markov models Dynamic programming

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