8008 search results - page 383 / 1602 » Learning in Multi-Agent Systems |
164
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ECAI
2004
Springer
16 years 6 days ago
2004
Springer
Agents that exist in an environment that changes over time, and are able to take into account the temporal nature of experience, are commonly called incremental learners. It is wid...
174
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AAI
2005
15 years 6 months ago
2005
This paper discusses Betty's Brain, a teachable agent in the domain of river ecosystems that combines learning by teaching with self-regulation mentoring to promote deep lear...
186
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ICANN
2010
Springer
15 years 5 months ago
2010
Springer
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
219
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NAACL
2010
15 years 4 months ago
2010
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
293
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GECCO
2011
Springer
14 years 10 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...