Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...
The degree to which a planner succeeds and meets response deadlines depends on the correctness and completenessof its modelswhichdescribe events and actions that change the world ...