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AAMAS
2002
Springer
13 years 9 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
ACISICIS
2010
IEEE
13 years 6 months ago
Agent-Aided 3D Symbiotic Space
In this paper, we propose 3D space which is based on concept of real and digital spaces symbiosis. Recently, collaborative work environments which are using Augmented Reality have ...
Akira Sakatoku, Toshiaki Osada, Gen Kitagata, Nori...
SKG
2006
IEEE
14 years 3 months ago
Multi-layer Grid Portal Architecture Based on Mobile Agent
Many Grid portal architectures have three layers: browser, portal and Grid environment. We design a multi-layer Grid portal architecture, which introduced Mobile Agent; the mobile...
Fang Juan
JCP
2006
85views more  JCP 2006»
13 years 9 months ago
The Emergence of Autonomous Representations in Artificial Agents
Representational autonomy is a key property of an artificial agent. The type of representational structures and the role they play in the preservation of an agent's autonomy a...
Argyris Arnellos, Spyros Vosinakis, Thomas Spyrou,...
CCGRID
2001
IEEE
14 years 1 months ago
Performance Evaluation of an Agent-Based Resource Management Infrastructure for Grid Computing
Resource management is an important infrastructure in the grid computing environment. Scalability and adaptability are two key challenges in the implementation of such complex sof...
Junwei Cao, Darren J. Kerbyson, Graham R. Nudd