In this paper, we address the tradeo between exploration and exploitation for agents which need to learn more about the structure of their environment in order to perform more e e...
Shlomo Argamon-Engelson, Sarit Kraus, Sigalit Sina
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
The paper builds on both a simply typed term system PRω and a computation model on Scott domains via so-called parallel typed while programs (PTWP). The former provides a notion ...
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Abstract. The Virtual Reality Modeling Language (VRML) and Java provide a standardized, portable and platformindependent way to render dynamic, interactive 3D scenes across the Int...