709 search results - page 106 / 142 » Real-World Limits to Algorithmic Intelligence |
FLAIRS
1998
14 years 11 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
110
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ATAL
2011
Springer
13 years 9 months ago
2011
Springer
Researchers in the field of multiagent sequential decision making have commonly used the terms “weakly-coupled” and “loosely-coupled” to qualitatively classify problems i...
EVOW
2009
Springer
15 years 4 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
IAT
2009
IEEE
15 years 4 months ago
2009
IEEE
—In decentralized settings with partial observability, agents can often benefit from communicating, but communication resources may be limited and costly. Current approaches ten...
103
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KI
2009
Springer
15 years 4 months ago
2009
Springer
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...