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Stochastic process
Results: 1129

#	Item
771	Journal of Machine Learning Research[removed]1371 Submitted 10/09; Revised 6/11; Published 5/12 Transfer in Reinforcement Learning via Shared Features George Konidaris Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-06-08 19:50:16 Cybernetics Dynamic programming Stochastic control Reinforcement learning Computational neuroscience Markov decision process Machine learning Intelligent agent Reinforcement Statistics Artificial intelligence Science
772	Heuristic Search of Multiagent Influence Space Frans A. Oliehoek1 , Stefan Witwicki2 , and Leslie P. Kaelbling1 1 2 Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-12-05 10:35:12 Stochastic control Partially observable Markov decision process Markov decision process Reinforcement learning Multi-agent system Agent-based model Heuristic function Affect A* search algorithm Statistics Dynamic programming Markov processes
773	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: lis.csail.mit.edu Language: English - Date: 2012-07-07 18:01:23 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
774	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, {kjhs Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-07-07 18:01:24 Stochastic control Dynamical system Motion planning Robot Kinematics Normal distribution Statistics Dynamic programming Partially observable Markov decision process
775	Noname manuscript No. (will be inserted by the editor) Robust Grasping Under Object Pose Uncertainty Kaijen Hsiao · Leslie Pack Kaelbling · Tom´as Lozano-P´erez Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2012-07-09 18:40:28 Computer vision Dynamic programming Partially observable Markov decision process Stochastic control Pose Motion planning Limit Kinematics Observation Epistemology Statistics Science
776	Task-Driven Tactile Exploration Kaijen Hsiao Willow Garage Menlo Park, CA Email: [removed] Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-06-04 04:18:57 Formal languages Dynamic programming Partially observable Markov decision process Stochastic control Object recognition Interpretation Function Motion planning Limit Mathematics Statistics Logic
777	Diagnose and Decide: An Optimal Bayesian Approach Emma Brunskill Computer Science Department Carnegie Mellon University [removed] Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-03-11 16:09:52 Stochastic control Decision theory Partially observable Markov decision process Markov decision process Optimal decision Statistical hypothesis testing Algorithm Greedy algorithm Decision making Statistics Dynamic programming Markov processes
778	PROCEEDINGS, CI[removed]ANALYTIC METHODS FOR OPTIMIZING REALTIME CROWDSOURCING Michael S. Bernstein, David R. Karger, Robert C. Miller MIT CSAIL Cambridge, MA 02139 Add to Reading List Source URL: hci.stanford.edu Language: English - Date: 2012-10-20 16:40:47 M/M/1 queue Queueing model M/M/c queue Amazon Mechanical Turk Poisson process Poisson distribution Erlang Retainer Siméon Denis Poisson Statistics Stochastic processes Queueing theory
779	LNAI[removed]Sequential Feature Selection for Classification Add to Reading List Source URL: www.rueckstiess.net Language: English - Date: 2011-12-08 22:18:53 Stochastic control Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Feature selection Statistics Dynamic programming Markov processes
780	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: groups.csail.mit.edu Language: English - Date: 2011-02-22 11:30:08 Stochastic control Optimal control Estimation theory Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Statistics Systems theory

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