Search results for "POMDP"
showing 4 items of 4 documents
POMDP problēmu risināšana, izmantojot vēsturiskus elementus, un tās optimizācija
2017
Elvja Egles Bakalaura darba „POMDP problēmu risināšana, izmantojot vēsturiskus elementus, un tās optimizācija” ietvaros tika izpētīti daļēji novērojami Markova lēmuma procesu (POMDP) algoritmi. Balstoties uz Jāņa Zutera zinātniski pētniecisko raksta saturu „Sequence Q-Learning: a Memory-based Method Towards Solving POMDP”, kurā ir aprakstīta POMDP risināšanas ideja, tika izstrādāts līdzvērtīgs mašīnmācīšanās algoritms, saskaņā ar rakstā sniegto informāciju. Bakalaura darba ietvaros tika pētīta šī Algoritma efektivitāte, kā arī apskatītas un piedāvātas vairākas iespējas tā tālākai pilnveidei. Programmētais darbs tika pievērsts konkrētai problēmai, kurai bija novērojama labāka ātrdarbība ar n…
POMDP failu konvertācija un apstrāde
2017
Bakalaura darba nosaukums ir “POMDP failu konvertācija un apstrāde”. Darbā tiek aprakstīti MDP un POMDP modeļi, POMDPx un POMDP failu formāti un šo failu formātu savstarpējai konvertācija, izmantojot programmēšanas valodu C++.
A Cognitive Dialogue Manager for Education Purposes
2011
A conversational agent is a software system that is able to interact with users in a natural way, and often uses natural language capabilities. In this chapter, an evolution of a conversational agent is presented according to the definition of dialogue management techniques for the conversational agents. The presented conversational agent is intended to act as a part of an educational system. The chapter outlines the state-of-the-art systems and techniques for dialogue management in cognitive educational systems, and the underlying psychological and social aspects. We present our framework for a dialogue manager aimed to reduce the uncertainty in users’ sentences during the assessment of hi…
A framework to induce self-regulation through a metacognitive tutor
2010
A new architectural framework for a metacognitive tutoring system is presented that is aimed to stimulate self regulatory behavior in the learner. The new framework extends the cognitive architecture of TutorJ that has been already proposed by some of the authors. TutorJ relies mainly on dialogic interaction with the user, and makes use of a statistical dialogue planner implemented through a Partially Observable Markov Decision Process (POMDP). A suitable two-level structure has been designed for the statistical reasoner to cope with measuring and stimulating metacognitive skills in the user. Suitable actions have been designed to this purpose starting from the analysis of the main question…