The energy efficiency paradox revisited through a partial observability approachKOUNETAS, Kostas; TSEKOURAS, Kostas.Energy economics. 2008, Vol 30, Num 5, pp 2517-2536, issn 0140-9883, 20 p.Article

Resolving structural uncertainty in natural resources management using POMDP approachesWILLIAMS, Byron K.Ecological modelling. 2011, Vol 222, Num 5, pp 1092-1102, issn 0304-3800, 11 p.Article

Controller Synthesis and Ordinal AutomataCACHAT, Thierry.Lecture notes in computer science. 2006, pp 215-228, issn 0302-9743, isbn 3-540-47237-1, 1Vol, 14 p.Conference Paper

Partial observability and learnabilityMICHAEL, Loizos.Artificial intelligence (General ed.). 2010, Vol 174, Num 11, pp 639-669, issn 0004-3702, 31 p.Article

Characterizing reinforcement learning methods through parameterized learning problemsKALYANAKRISHNAN, Shivaram; STONE, Peter.Machine learning. 2011, Vol 84, Num 1-2, pp 205-247, issn 0885-6125, 43 p.Article

Strong planning under partial observabilityBERTOLI, Piergiorgio; CIMATTI, Alessandro; ROVERI, Marco et al.Artificial intelligence. 2006, Vol 170, Num 4-5, pp 337-384, issn 0004-3702, 48 p.Article

Addressing structural and observational uncertainty in resource managementFACKLER, Paul; PACIFICI, Krishna.Journal of environmental management. 2014, Vol 133, pp 27-36, issn 0301-4797, 10 p.Article

Belief selection in point-based planning algorithms for POMDPsIZADI, Masoumeh T; PRECUP, Doina; AZAR, Danielle et al.Lecture notes in computer science. 2006, pp 383-394, issn 0302-9743, isbn 3-540-34628-7, 1Vol, 12 p.Conference Paper

Efficient non-linear control through neuroevolutionGOMEZ, Faustino; SCHMIDHUBER, Jürgen; MIIKKULAINEN, Risto et al.Lecture notes in computer science. 2006, pp 654-662, issn 0302-9743, isbn 3-540-45375-X, 1Vol, 9 p.Conference Paper

Network-adaptive QoS routing using local informationHAN, Jeongsoo.Lecture notes in computer science. 2006, pp 190-199, issn 0302-9743, isbn 3-540-45776-3, 1Vol, 10 p.Conference Paper

Dynamic local interaction model: Modèle et algorithmes = Dynamic local interaction model. Model and algorithmsCANU, Arnaud; MOUADDIB, Abdel-Illah.Revue d'intelligence artificielle. 2012, Vol 26, Num 5, pp 495-521, issn 0992-499X, 27 p.Conference Paper

Average Cost Optimality in Inventory Models With Dynamic Information DelaysBENSOUSSAN, Alain; CAKANYILDIRIM, Metin; SETHI, Suresh P et al.IEEE transactions on automatic control. 2011, Vol 56, Num 12, pp 2869-2882, issn 0018-9286, 14 p.Article

Finding optimal memoryless policies of POMDPs under the expected average reward criterionYANJIE LI; BAOQUN YIN; HONGSHENG XI et al.European journal of operational research. 2011, Vol 211, Num 3, pp 556-567, issn 0377-2217, 12 p.Article

Partial state and input observability recovering by additional sensor implementation: a graph-theoretic approachBOUKHOBZA, T.International journal of systems science. 2010, Vol 41, Num 11, pp 1281-1291, issn 0020-7721, 11 p.Article

Neural Networks for Mobile Robot Navigation : A SurveyZOU, An-Min; HOU, Zeng-Guang; FU, Si-Yao et al.Lecture notes in computer science. 2006, pp 1218-1226, issn 0302-9743, isbn 3-540-34439-X, 9 p.Conference Paper

Protocols with No AcknowledgmentROSENBERG, Dinah; SOLAN, Eilon; VIEILLE, Nicolas et al.Operations research. 2009, Vol 57, Num 4, pp 905-915, issn 0030-364X, 11 p.Article

Certain nonlinear partially observable stochastic optimal control problems with explicit control laws equivalent to LEQG/LQG problemsCHARALAMBOUS, C. D; ELLIOTT, R. J.IEEE transactions on automatic control. 1997, Vol 42, Num 4, pp 482-497, issn 0018-9286Article

Apprentissage actif dans les processus décisionnels de Markov partiellement observables : L'algorithme MEDUSA = Active learning in the partially observable decisional Markov processes: the MEDUSA algorithmJAULMES, Robin; PINEAU, Joëlle; PRECUP, Doina et al.Revue d'intelligence artificielle. 2007, Vol 21, Num 1, pp 9-33, issn 0992-499X, 25 p.Article

Partially observable control of diffusions with correlated noiseEL KAROUI, N.Lecture notes in control and information sciences. 1987, Vol 96, pp 272-285, issn 0170-8643Conference Paper

Contrôle décentralisé de systèmes symboliques infinis sous observation partielleKALYON, Gabriel; LE GALL, Tristan; MARCHAND, Hervé et al.Journal européen des systèmes automatisés. 2009, Vol 43, Num 7-9, pp 805-819, issn 1269-6935, 15 p.Conference Paper

Behavioural description based web service composition using abstraction and refinementHYUNYOUNG KIL; WONHONG NAM; DONGWON LEE et al.International journal of web and grid services (Print). 2013, Vol 9, Num 1, pp 54-81, issn 1741-1106, 28 p.Article

An Extension of Bayesian Game Approximation to Partially Observable Stochastic Games with Competition and CooperationDONGQING SHI; SAUTER, Michael Z; XUEQING SUN et al.Artificial intelligence. International conferenceWorldComp'2010. 2010, pp 563-569, isbn 1-60132-146-5 1-60132-147-3 1-60132-148-1, 7 p.Conference Paper

Learning to bid in bridge : Machine learning and gamesAMIT, Asaf; MARKOVITCH, Shaul.Machine learning. 2006, Vol 63, Num 3, pp 287-327, issn 0885-6125, 41 p.Article

Policy Improvement by a Model-Free Dyna ArchitectureHWANG, Kao-Shing; LO, Chia-Yue.IEEE transactions on neural networks and learning systems (Print). 2013, Vol 24, Num 5, pp 776-788, issn 2162-237X, 13 p.Article

Robust and nonblocking supervisory control of nondeterministic discrete event systems with communication delay and partial observationPARK, Seong-Jin.International journal of control. 2012, Vol 85, Num 1-3, pp 58-68, issn 0020-7179, 11 p.Article