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AAMAS
2002
Springer
14 years 10 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
AGS
2009
Springer
15 years 5 months ago
Intelligent Agent Modeling as Serious Game
We propose a novel approach to intelligent tutoring gaming simulations designed for both educational and inquiry purposes in complex multi-actor systems such as infrastructures or...
D. W. F. van Krevelen
AMEC
2004
Springer
15 years 4 months ago
Designing Auctions for Deliberative Agents
Abstract. In many settings, bidding agents for auctions do not know their preferences a priori. Instead, they must actively determine them through deliberation (e.g., information p...
Kate Larson, Tuomas Sandholm
CW
2003
IEEE
15 years 4 months ago
Disappearing Computers, Social Actors and Embodied Agents
Presently, there are user interfaces that allow multimodal interactions. Many existing research and prototype systems introduced embodied agents, assuming that they allow a more n...
Anton Nijholt
ATAL
2003
Springer
15 years 4 months ago
A prototype multiAgent network security system
Distributed Internet-based attacks on computer systems are becoming more prevalent. These attacks usually employ some form of automation and involve the compromise of many systems...
Taraka Pedireddy, José M. Vidal