Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
There is an interesting class of ICNs, which includes the star graph and the n-way shuffle, for which the network diameter is sub-logarithmic in the network size. This paper prese...
Michael A. Palis, Sanguthevar Rajasekaran, David S...
— Simultaneous localization and mapping (SLAM) is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics app...
Abstract—In this paper, we propose to leverage cloud computing to tame resource-poor mobile devices. Specifically, mobile applications can be executed in the mobile device (know...
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...