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...
As symmetric multiprocessors become commonplace, the interconnection networks and the communication system software in clusters of multiprocessors become critical to achieving high...
Ying Qian, Ahmad Afsahi, Nathan R. Fredrickson, Re...
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Background: We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional a...
Sohrab P. Shah, Yong Huang, Tao Xu, Macaire M. S. ...
For two naturals m, n such that m < n, we show how to construct a circuit C with m inputs and n outputs, that has the following property: for some 0 ≤ k ≤ m, the circuit deï...