We propose a biologically inspired and fully-decentralized approach to the organization of computation that is based on the autonomous scheduling of strongly mobile agents on a pe...
Arjav J. Chakravarti, Gerald Baumgartner, Mario La...
Abstract--Thermal issues are fast becoming major design constraints in high-performance systems. Temperature variations adversely affect system reliability and prompt worst-case de...
Amit Kumar 0002, Li Shang, Li-Shiuan Peh, Niraj K....
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...