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» Agents in Proactive Environments
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AAAI
2006
15 years 2 months ago
Decision Tree Methods for Finding Reusable MDP Homomorphisms
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
Alicia P. Wolfe, Andrew G. Barto
FLAIRS
2003
15 years 2 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
120
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NIPS
2004
15 years 2 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling
ATAL
2010
Springer
15 years 1 months ago
Virtual world builder toolkit
In this paper we present a system that automatically generates a 3D virtual world from a virtual institution (VI) specification, namely of activities that will take place in the v...
T. Trescak, M. Esteva, I. Rodriguez, J. Morales
92
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IJCOMSYS
2006
99views more  IJCOMSYS 2006»
15 years 22 days ago
Distributed policy processing in active-service based infrastructures
More and more applications in the Internet are requiring an intelligent service infrastructure to provide customized services. In this paper, we present an infrastructure, which c...
Wei Yu, Sriram Chellappan, Dong Xuan, Wei Zhao