267 search results - page 46 / 54 » The Dynamics of Multi-Agent Reinforcement Learning |
BC
2008
14 years 9 months ago
2008
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
ICML
1994
IEEE
15 years 1 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
AINTEC
2005
Springer
15 years 3 months ago
2005
Springer
— We present a vision of an Intelligent Network in which users dynamically indicate their requests for services, and formulate needs in terms of Quality of Service (QoS) and pric...
AR
2008
14 years 9 months ago
2008
Intentional behavior is a basic property of intelligence and it incorporates the cyclic operation of prediction, testing by action, sensing, perceiving, and assimilating the exper...
HICSS
2003
IEEE
15 years 2 months ago
2003
IEEE
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...