1310 search results - page 140 / 262 » Progressive Optimization in Action |
120
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AAAI
2006
15 years 6 months ago
2006
The importance of the problems of contingent planning with actions that have non-deterministic effects and of planning with goal preferences has been widely recognized, and severa...
140
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ATAL
2007
Springer
15 years 11 months ago
2007
Springer
In this paper we consider the problem of managing and exploiting schedules in an uncertain and distributed environment. We assume a team of collaborative agents, each responsible ...
145
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EUROCAST
2007
Springer
15 years 11 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
139
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CAEPIA
2005
Springer
15 years 10 months ago
2005
Springer
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
134
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ATAL
2003
Springer
15 years 10 months ago
2003
Springer
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...