— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
—Physical layer techniques have come a long way and can achieve close to Shannon capacity for single pointto-point transmissions. It is apparent that, to further improve network ...
Erran L. Li, Richard Alimi, Dawei Shen, Harish Vis...
We consider a single-item, periodic review inventory control problem where discrete stochastic demand must be satisfied. When shortages occur, the unmet demand must be filled by...
Accurately estimating the person’s head position and orientation is an important task for a wide range of applications such as driver awareness, meeting analysis and human-robot...
Louis-Philippe Morency, Jacob Whitehill, Javier R....
We develop multiattribute auctions that accommodate generalized additive independent (GAI) preferences. We propose an iterative auction mechanism that maintains prices on potentia...