Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute acti...
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
In this paper, we describe progress in research designed to explore the effect of the combination of avatars' visual fidelity and users' anticipated future interaction o...
This paper describes a security architecture designed to support role-based access control for distributed object systems in a large-scale, multi-organisational enterprise in whic...
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...