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» Learning Action Selection Network of Intelligent Agent
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FLAIRS
2000
15 years 1 months ago
Resolving Conflicts Among Actions in Concurrent Behaviors
A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensin...
Henry Hexmoor
AINA
2005
IEEE
15 years 5 months ago
An Intelligent Semantic Agent for e-Learning Message Communication
Ying-Hong Wang, Wen-Nan Wang, Yi-Hsiang Yen
IJCNN
2008
IEEE
15 years 6 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
ATAL
2008
Springer
15 years 1 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
AI
2004
Springer
14 years 11 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz