Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...
Automatically building high-level segments to structure information in video documents is a challenging task. This paper presents a method based on the cophenetic criterion, a dis...
We describe ongoing work on I2I, a system aimed at fostering opportunistic communication among users viewing or manipulating content on the Web and in productivity applications. U...
Jay Budzik, Shannon Bradshaw, Xiaobin Fu, Kristian...
— We study the performance of fair physical layer schedulers that select a pair of orthogonal users for simultaneous transmission. The schemes rely on partial channel state infor...
Alexis A. Dowhuszko, Graciela Corral-Briones, Jyri...
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...