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» Designing Effective Policies for Minimal Agents
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JAIR
2006
101views more  JAIR 2006»
13 years 7 months ago
Resource Allocation Among Agents with MDP-Induced Preferences
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...
Dmitri A. Dolgov, Edmund H. Durfee
AAAI
2008
13 years 9 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
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...
CHI
2009
ACM
14 years 8 months ago
The effect of affective iconic realism on anonymous interactants' self-disclosure
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...
Sin-Hwa Kang, Jonathan Gratch, James H. Watt
WETICE
1996
IEEE
13 years 11 months ago
Role-based security for distributed object systems
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...
Nicholas Yialelis, Emil Lupu, Morris Sloman
ICML
2003
IEEE
14 years 8 months ago
Q-Decomposition for Reinforcement Learning Agents
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...
Stuart J. Russell, Andrew Zimdars