Partially observable Markov decision process

Results: 193



#Item
71Stochastic control / Control theory / Search algorithms / Partially observable Markov decision process / Markov decision process / Tree traversal / Game theory / Statistics / Dynamic programming / Markov processes

Past, Present, and Future: An Optimal Online Algorithm for Single-Player GDL-II Games 1 ¨ Florian Geißer and Thomas Keller and Robert Mattmuller

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Source URL: gki.informatik.uni-freiburg.de

Language: English - Date: 2014-08-08 08:44:39
72Markov processes / Stochastic control / Control theory / Partially observable Markov decision process / Valuation / Markov decision process / Algorithm / Function / Statistics / Mathematics / Dynamic programming

Point-Based Policy Iteration Shihao Ji, Ronald Parr† , Hui Li, Xuejun Liao, and Lawrence Carin Department of Electrical and Computer Engineering † Department of Computer Science Duke University

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Source URL: www.cs.duke.edu

Language: English - Date: 2007-04-27 18:47:12
73Markov models / Stochastic control / Markov decision process / Reinforcement learning / Bellman equation / Markov chain / Partially observable Markov decision process / Statistics / Dynamic programming / Markov processes

Modular Value Iteration Through Regional Decomposition Linus Gisslen, Mark Ring, Matthew Luciw, and J¨ urgen Schmidhuber IDSIA Manno-Lugano, 6928, Switzerland

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Source URL: agi-conference.org

Language: English - Date: 2012-12-09 10:12:52
74Dynamic programming / Stochastic control / Markov chain / Reinforcement learning / Partially observable Markov decision process / Agent-based model / Stochastic process / Mathematical optimization / Statistics / Markov processes / Markov models

IntelligentContractingAgentsLanguage

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Source URL: www.aisb.org.uk

Language: English - Date: 2008-03-15 17:12:10
75Automated planning and scheduling / Planning Domain Definition Language / Partially observable Markov decision process / Control theory / Artificial intelligence / Mathematical sciences / Dynamic programming / Markov processes / Stochastic control

ICAPS 2012 Tutorial Recent Advances in Continuous Planning Scott Sanner

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2012-06-26 18:51:09
76Markov processes / Stochastic control / Mathematical sciences / Mathematical optimization / Logic programming / Partially observable Markov decision process / Markov decision process / Situation calculus / Optimal control / Statistics / Control theory / Dynamic programming

Symbolic Dynamic Programming for First-order POMDPs Scott Sanner Kristian Kersting NICTA & ANU

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2010-04-14 03:16:52
77DBN / Partially observable Markov decision process / STRIPS / Automated planning and scheduling / Artificial intelligence / Planning Domain Definition Language

Microsoft PowerPoint - IPPC_2011_Presentation.ppt

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-06-25 19:58:25
78Markov processes / Stochastic control / Artificial intelligence / Partially observable Markov decision process / Control theory / Automated planning and scheduling / Game artificial intelligence / Hindsight / Heuristic function / Search algorithms / Statistics / Dynamic programming

POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce [removed], [removed] Utah State University Logan, UT

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2011-06-14 15:17:26
79Multi-agent systems / Markov models / Reinforcement learning / Intelligent agent / Symbol / Science / Agent-based model / Partially observable Markov decision process / Statistics / Artificial intelligence / Markov processes

Memory Issues of Intelligent Agents Laurent Orseau1 and Mark Ring2 1 AgroParisTech UMRINRA 16 rue Claude Bernard, 75005 Paris, France

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Source URL: agi-conference.org

Language: English - Date: 2012-12-09 09:18:09
80Stochastic control / Control theory / Partially observable Markov decision process / Markov model / Markov decision process / Robotics / Robot / Statistics / Markov processes / Dynamic programming

proceedings of the Workshop on Robot Manipulation: Sensing and Adapting to the Real World, 2007 Robotics: Science and Systems Conference, Atlanta, GA, June 30, [removed]Guiding Grasping with Proprioception and Markov

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Source URL: www.eng.yale.edu

Language: English - Date: 2009-10-13 17:53:36
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