Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
Adaptive walk on a fitness soundscape [7] is a new kind of interactive evolutionary computation for musical works. This system provides a virtual two-dimensional grid called a “...
Reiji Suzuki, Souichiro Yamaguchi, Martin L. Cody,...
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
In this paper, we discuss the development of a theoretical framework for introducing adaptive presentation in adaptive testing. To this end, a discussion of some aspects concerning...