Recent work by Procaccia, Rosenschein and Zohar [14] established some results regarding the complexity of manipulation and control in elections with multiple winners, such as elec...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
This paper studies dissipativity for a class of infinite-dimensional systems, called pseudorational, in the behavioral context. A basic equivalence condition for dissipativity is e...
Abstract— In this paper, we analyze and compare five imagebased visual servoing control laws. Three of them are classical while two new ones are proposed. The first new control...
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...