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Stochastic control
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#	Item
221	Automated Hierarchy Discovery for Planning in Partially Observable Domains by Laurent Charlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-11-23 03:02:25 Mathematics Dynamic programming Markov processes Stochastic control Numerical software Mathematical optimization Markov decision process Solver Hierarchy Statistics Operations research Applied mathematics
222	16th IFAC Symposium on System Identification The International Federation of Automatic Control Brussels, Belgium. July 11-13, 2012 Optimal Perturbations for the Identification of Stochastic Reaction Dynamics Add to Reading List Source URL: edit.ethz.ch Language: English Statistical theory Thermodynamics Normal distribution Markov chain Gamma distribution Statistics Probability and statistics Kullback–Leibler divergence
223	POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce , Utah State University Logan, UT Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:17:26 Markov 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
224	Bidirectional Online Probabilistic Planning Aswin Nadamuni Raghavan and Saket Joshi and Alan Fern and Prasad Tadepalli School of Electrical Engineering and Computer Science Oregon State University, Corvallis, ORW Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-06-14 15:16:59 Markov processes Stochastic control Heuristics Automated planning and scheduling University of Cape Town Heuristic function Markov decision process Planner Heuristic Statistics Artificial intelligence Dynamic programming
225	Compact, Convex Upper Bound Iteration for Approximate POMDP Planning Tao Wang University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-04-29 22:25:13 Operations research Mathematical optimization Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Semidefinite programming Linear programming Markov decision process Mathematics Algebra Statistics
226	Bayesian Sparse Sampling for On-line Reward Optimization Tao Wang TRYSI @ CS . UALBERTA . CA Daniel Lizotte DLIZOTTE @ CS . UALBERTA . CA Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-17 16:12:19 Markov processes Stochastic control Statistical inference Partially observable Markov decision process Bayesian inference Thompson sampling Markov decision process Reinforcement learning Machine learning Statistics Dynamic programming Bayesian statistics
227	LRTDP vs. UCT for Online Probabilistic Planning Andrey Kolobov Mausam Daniel S. Weld Add to Reading List Source URL: www.cs.washington.edu Language: English - Date: 2013-08-13 03:53:42 Systems theory Mathematical optimization Equations Operations research Stochastic control Markov decision process Lookahead Bellman equation Automated planning and scheduling Statistics Dynamic programming Control theory
228	Improving Accuracy in End-to-end Packet Loss Measurement Joel Sommers, Paul Barford, Nick Duffield,* Amos Ron University of Wisconsin-Madison AT&T Labs-Research* Add to Reading List Source URL: conferences.sigcomm.org Language: English - Date: 2005-08-28 16:38:52 Management Packet loss Throughput Business Transmission Control Protocol Queueing theory Transport layer Network performance Statistics Stochastic processes
229	Optimal Reinsurance Strategies in Regime-switching Jump Diﬀusion Models: Stochastic Diﬀerential Game Formulation and Numerical Methods Zhuo Jin,∗ G. Yin,† Add to Reading List Source URL: fbe.unimelb.edu.au Language: English - Date: 2014-04-02 01:29:50 Stochastic processes Markov models Equations Markov chain Dynamic programming Optimal control Continuous-time Markov process Poisson process Statistics Markov processes Mathematical optimization
230	Geophysical Journal International Geophys. J. Intdoi: j.1365-246Xx Adaptive noise cancelling of multichannel magnetic resonance Add to Reading List Source URL: www.hgg.geo.au.dk Language: English - Date: 2012-08-30 08:51:51 Noise Audio engineering Stochastic processes Time series analysis Digital audio Adaptive filter Noise reduction Signal-to-noise ratio Active noise control Signal processing Statistics Electronics

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