Stochastic control

Results: 776



#Item
561Stochastic control / Partially observable Markov decision process / Markov decision process / Reinforcement learning / Heuristic function / Mathematical optimization / Statistics / Dynamic programming / Markov processes

Optimally Solving Dec-POMDPs as Continuous-State MDPs Jilles Steeve Dibangoye Inria / Universit´e de Lorraine Nancy, France [removed]

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Source URL: lis.csail.mit.edu

Language: English - Date: 2013-08-12 12:17:22
562Dynamic programming / Partially observable Markov decision process / Stochastic control / Pruning / Inner product space / Branch and bound / TATA-binding protein / FO / Control theory / Mathematics / Statistics

Tree-based Solution Methods for Multiagent POMDPs with Delayed Communication Frans A. Oliehoek Matthijs T.J. Spaan

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Source URL: people.csail.mit.edu

Language: English - Date: 2012-05-25 09:33:21
563Stochastic control / Control theory / Logic in computer science / Partially observable Markov decision process / Fluent / Probability / Markov decision process / Statistics / Dynamic programming / Markov processes

Automatic Synthesis of Rules for Planning in Belief Space Leslie Pack Kaelbling MIT CSAIL Cambridge, MA[removed]Email: [removed]

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Source URL: lis.csail.mit.edu

Language: English - Date: 2013-09-24 22:07:15
564Stochastic control / Partially observable Markov decision process / Markov decision process / Reinforcement learning / Danger Hiptop / Economic model / Borland Sidekick / Simulation / S0 / Statistics / Dynamic programming / Markov processes

POMCoP: Belief Space Planning for Sidekicks in Cooperative Games Owen Macindoe, Leslie Pack Kaelbling, and Tom´as Lozano-P´erez CSAIL, 32 Vassar Street Cambridge, Massachusetts, [removed]Abstract

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Source URL: lis.csail.mit.edu

Language: English - Date: 2012-10-18 15:45:42
565Systems 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

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

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Source URL: lis.csail.mit.edu

Language: English - Date: 2014-03-18 11:50:39
566Cybernetics / Dynamic programming / Stochastic control / Reinforcement learning / Computational neuroscience / Markov decision process / Machine learning / Intelligent agent / Reinforcement / Statistics / Artificial intelligence / Science

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

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Source URL: lis.csail.mit.edu

Language: English - Date: 2012-06-08 19:50:16
567Stochastic 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

Heuristic Search of Multiagent Influence Space Frans A. Oliehoek1 , Stefan Witwicki2 , and Leslie P. Kaelbling1 1 2

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Source URL: people.csail.mit.edu

Language: English - Date: 2011-12-05 10:35:12
568Stochastic 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
569Stochastic 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
570Computer 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
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