Partially observable Markov decision process

Results: 193



#Item
31Stochastic control / Control theory / Partially observable Markov decision process / Automated planning and scheduling / Markov decision process / Reinforcement learning / Macro / Algorithm / Statistics / Dynamic programming / Markov processes

Monte Carlo Value Iteration with Macro-Actions Zhan Wei Lim David Hsu Wee Sun Lee

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

Language: English - Date: 2011-11-09 00:33:14
32Stochastic control / Control theory / Partially observable Markov decision process / R-tree / B-tree / Tree traversal / Markov decision process / Statistics / Dynamic programming / Markov processes

DESPOT: Online POMDP Planning with Regularization Adhiraj Somani Nan Ye David Hsu Wee Sun Lee

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

Language: English - Date: 2014-05-28 05:12:40
33Markov processes / Stochastic control / Systems theory / Partially observable Markov decision process / Monte Carlo POMDP / Markov decision process / Automated planning and scheduling / Collision avoidance / Traffic collision avoidance system / Statistics / Control theory / Dynamic programming

Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs Haoyu Bai∗ David Hsu∗

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

Language: English - Date: 2011-05-30 06:03:31
34Stochastic 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, MAEmail:

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Source URL: faculty.cua.edu

Language: English - Date: 2015-05-26 14:10:44
35Stochastic control / Theoretical computer science / Partially observable Markov decision process / Motion planning / Markov decision process / Algorithm / Symbol / Normal distribution / Statistics / Dynamic programming / Markov processes

IN Proc. Robotics: Science & Systems, 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

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

Language: English - Date: 2008-07-11 05:03:32
36Mental processes / Philosophy of religion / Economic model / Belief / Partially observable Markov decision process / BT Group / Reinforcement learning / Perception / Action selection / Mind / Ethology / Knowledge

Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence Stephanie Rosenthal∗ , Dan Bohus, Ece Kamar, Eric Horvitz Microsoft Research Redmond, WA USA , {dbohus, eckam

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Source URL: research.microsoft.com

Language: English - Date: 2013-04-24 04:58:18
37Control theory / Motion planning / Trajectory optimization / Partially observable Markov decision process / Kalman filter / Collision detection / Optimal control / Normal distribution / Robot / Mathematical optimization / Statistics / Applied mathematics

Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2013-04-30 13:17:31
38Probability and statistics / Estimation theory / Dynamic programming / Markov processes / Stochastic control / Partially observable Markov decision process / Particle filter / Importance sampling / Kalman filter / Statistics / Control theory / Robot control

Journal of Artificial Intelligence Research337 Submitted 06/08; publishedMonte Carlo Sampling Methods for Approximating Interactive POMDPs

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Source URL: jair.org

Language: English - Date: 2009-03-24 14:18:15
39Stochastic control / Control theory / Partially observable Markov decision process / Markov decision process / Statistics / Dynamic programming / Markov processes

What Makes Some POMDP Problems Easy to Approximate? David Hsu∗ Wee Sun Lee∗

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

Language: English - Date: 2007-10-02 20:38:57
40Dynamic programming / Partially observable Markov decision process / Stochastic control / Branch and bound / NP-complete problems / Statistics / Mathematics / Theoretical computer science

Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang ZHANGZZ @ COMP. NUS . EDU . SG David Hsu DYHSU @ COMP. NUS . EDU . SG

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

Language: English - Date: 2014-07-04 06:57:08
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