Stochastic process

Results: 1129



#Item
281Stochastic control / Markov models / Partially observable Markov decision process / Bayesian statistics / Reinforcement learning / Markov decision process / Conjugate prior / Markov chain / Q-learning / Statistics / Markov processes / Dynamic programming

Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2012-05-24 21:17:28
282Options / Stochastic differential equations / Stochastic calculus / Volatility / Stochastic volatility / Gaussian process / Normal distribution / Black–Scholes / Long-range dependency / Statistics / Stochastic processes / Mathematical finance

Stochastic Volatility with Long�Range Dependence

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 17:47:44
283Stochastic control / Control theory / Partially observable Markov decision process / Monte Carlo POMDP / Markov decision process / Algorithm / Maximum likelihood / Statistics / Dynamic programming / Markov processes

Integrated Perception and Planning in the Continuous Space: A POMDP Approach Haoyu Bai David Hsu

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2013-09-25 21:49:37
284Stochastic control / Partially observable Markov decision process / Motion planning / Automated planning and scheduling / Markov decision process / S0 / Probabilistic roadmap / Reinforcement learning / Sampling / Statistics / Dynamic programming / Markov processes

Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2010-11-12 00:05:05
285Teletraffic / Stochastic processes / Markov models / Traffic generation model / Traffic flow / IEEE 802.16 / Poisson process / IEEE 802 / Discretization / Statistics / Queueing theory / Markov processes

Practical Traffic Generation Model for Wireless Networks Sergey Andreev1 , Alexey Anisimov2 , Yevgeni Koucheryavy1 , and Andrey Turlikov3 Tampere University of Technology1 (TUT), FINLAND

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Source URL: anisimoff.org

Language: English - Date: 2012-09-07 15:24:06
286Enterprise modelling / Systems science / Business models / Human resource management / Staff / Planning / Business process modeling / Logistics / Scientific modelling / Systems engineering / Management / Business

Stochastic cycles for modelling workload distributions in military headquarters

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 22:34:07
287Stochastic control / Multi-agent systems / Partially observable Markov decision process / Agent-based model / Reinforcement learning / Markov decision process / Communication / Statistics / Dynamic programming / Markov processes

Journal of Arti cial Intelligence Research423 Submitted 2/02; published 6/02 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models

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Source URL: teamcore.usc.edu

Language: English - Date: 2008-10-14 03:56:35
288Stochastic control / Statistical theory / Estimation theory / Statistics / Dynamic programming / Partially observable Markov decision process

Structured Parameter Elicitation

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2011-01-17 20:01:45
289Markov processes / Stochastic control / Mathematical sciences / Operations research / Partially observable Markov decision process / Markov decision process / Reinforcement learning / Mathematical optimization / Algorithm / Statistics / Control theory / Dynamic programming

Journal of Artificial Intelligence Research Submitted 8/08; published 2/09 Policy Iteration for Decentralized Control of Markov Decision Processes

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Source URL: jair.org

Language: English - Date: 2009-03-01 20:57:56
290Stochastic control / Control theory / Partially observable Markov decision process / Markov decision process / Gaussian function / Continuous function / Statistics / Dynamic programming / Markov processes

Monte Carlo Value Iteration for Continuous-State POMDPs Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo Abstract Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2010-11-12 00:20:12
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