Stochastic programming

Results: 538



#Item
411Stochastic 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

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

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Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-07 18:01:23
412Stochastic control / Dynamical system / Motion planning / Robot / Kinematics / Normal distribution / Statistics / Dynamic programming / Partially observable Markov decision process

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

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Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-07 18:01:24
413Computer vision / Dynamic programming / Partially observable Markov decision process / Stochastic control / Pose / Motion planning / Limit / Kinematics / Observation / Epistemology / Statistics / Science

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

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Source URL: lis.csail.mit.edu

Language: English - Date: 2012-07-09 18:40:28
414Formal languages / Dynamic programming / Partially observable Markov decision process / Stochastic control / Object recognition / Interpretation / Function / Motion planning / Limit / Mathematics / Statistics / Logic

Task-Driven Tactile Exploration Kaijen Hsiao Willow Garage Menlo Park, CA Email: [removed]

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Source URL: people.csail.mit.edu

Language: English - Date: 2010-06-04 04:18:57
415Stochastic 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

Diagnose and Decide: An Optimal Bayesian Approach Emma Brunskill Computer Science Department Carnegie Mellon University [removed]

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Source URL: lis.csail.mit.edu

Language: English - Date: 2013-03-11 16:09:52
416Stochastic control / Markov models / Partially observable Markov decision process / Reinforcement learning / Markov decision process / Feature selection / Statistics / Dynamic programming / Markov processes

LNAI[removed]Sequential Feature Selection for Classification

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Source URL: www.rueckstiess.net

Language: English - Date: 2011-12-08 22:18:53
417Stochastic control / Control theory / Partially observable Markov decision process / Markov decision process / Trust / Advice / Statistics / Dynamic programming / Markov processes

Oliehoek-et-al-camready-version.dvi

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Source URL: people.csail.mit.edu

Language: English - Date: 2012-04-11 06:48:59
418Markov decision process / Stochastic control / Sufficient statistic / Statistics / Statistical theory / Dynamic programming

Exploiting Separability in Multiagent Planning with Continuous-State MDPs Jilles S. Dibangoyea a Christopher Amatob

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Source URL: lis.csail.mit.edu

Language: English - Date: 2014-03-18 11:50:39
419Dynamic programming / Markov processes / Stochastic control / Operations research / Mathematical optimization / Markov decision process / Q-learning / Reinforcement learning / Convex hull / Mathematics / Algebra / Statistics

Learning All Optimal Policies with Multiple Criteria Leon Barrett Srini Narayanan 1947 Center St. Ste. 600, Berkeley, CA 94704

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Source URL: www.machinelearning.org

Language: English - Date: 2008-05-22 03:19:26
420Programming language implementation / Science / Statistical natural language processing / Parsing / Bioinformatics / Stochastic context-free grammar / Chart parser / Top-down parsing / LL parser / Formal languages / Linguistics / Compiler construction

A* Parsing: Fast Exact Viterbi Parse Selection Dan Klein Computer Science Department Stanford University Stanford, CA[removed]

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-08-12 21:03:33
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