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EP for efficient stochastic control with obstacles - Mensink - 10 個引述 Path integral methods with stochastic control barrier … - Tao - 10 個引述 … ep in the context of approximate inference control - Toussaint - 15 個引述 | |
EP for Efficient Stochastic Control with Obstacles
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由 T Mensink 著作被引用 10 次 — We suggest Expectation Propagation. (EP) as a suitable approximation method, and compare the quality and efficiency of the resulting control ...
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EP for Efficient Stochastic Control with Obstacles
SNN Adaptive Intelligence
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We suggest Expectation Propagation. (EP) as a suitable approximation method, and compare the quality and efficiency of the resulting control with an MC sampler ...
EP for Efficient Stochastic Control with Obstacles
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We suggest Expectation Propagation (EP) as a suitable approximation method, and compare the quality and efficiency of the resulting control with an MC sampler ...
(PDF) EP for Efficient Stochastic Control with Obstacles
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This paper is a survey on some recent aspects and developments in stochastic control. We discuss the two main historical approaches, Bellman's optimality ...
EP for Efficient Stochastic Control with Obstacles | Proceedings of ...
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We address the problem of continuous stochastic optimal control in the presence of hard obstacles. Due to the non-smooth character of the obstacles, ...
EP for Efficient Stochastic Control with Obstacles
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由 T Mensink 著作2010被引用 10 次 — We suggest Expectation Propagation (EP) as a suitable approximation method, and compare the quality and efficiency of the resulting control with ...
EP for Efficient Stochastic Control with Obstacles
Semantic Scholar
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EP for Efficient Stochastic Control with Obstacles. Thomas Mensink1. Jakob Verbeek1. Bert Kappen2. LEAR - INRIA Rhône-Alpes, Grenoble, France. SNN - Radboud ...
Bayesian optimization with embedded stochastic ...
ScienceDirect.com
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由 CS Teodorescu 著作2025 — This article shows an example of a shared control algorithm intended to assist a human operator navigate a robot safely in an environment with static obstacles.
An efficient approach to stochastic optimal control
UCL - London's Global University
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UCL - London's Global University
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由 B Kappen 著作 — Obstacle avoidance requires mechanism when to decide. We take V = 0 and f = 0 and φ(x) = ∞ for all x, except for two narrow slits of.
STOCHASTIC CONTROL AND FINANCE
Fields Institute for Research in Mathematical Sciences
https://www.fields.utoronto.ca › courses › touzi1
Fields Institute for Research in Mathematical Sciences
https://www.fields.utoronto.ca › courses › touzi1
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由 N Touzi 著作2010被引用 4 次 — chapter for standard stochastic control problems, in the context of optimal stop- ping problems. We will then first start by the formulation of optimal stopping.
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