530 search results - page 58 / 106 » Learning Bounds for Domain Adaptation |
103
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AAMAS
2005
Springer
15 years 14 days ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
114
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GECCO
2009
Springer
15 years 5 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
119
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ML
2007
ACM
15 years 2 days ago
2007
ACM
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
94
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
100
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IMR
2005
Springer
15 years 6 months ago
2005
Springer
The first stage in an adaptive finite element scheme (cf. [CAS95, bor1]) consists in creating an initial mesh of a given domain Ω, which is used to perform an initial computati...