8008 search results - page 664 / 1602 » Learning in Multi-Agent Systems |
221
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GECCO
2000
Springer
15 years 11 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
190
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ICML
1995
IEEE
15 years 11 months ago
1995
IEEE
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
205
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FLAIRS
2007
15 years 9 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
225
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ATAL
2006
Springer
15 years 9 months ago
2006
Springer
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
238
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AAAI
2006
15 years 8 months ago
2006
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...