1233 search results - page 105 / 247 » Reinforcement learning |
101
Voted
HIS
2008
15 years 2 months ago
2008
In order to produce robots which can interact more effectively with humans we propose that it is necessary for their cognitive processes to be grounded in the same perceptual elem...
135
Voted
IEEEPACT
2008
IEEE
15 years 7 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
ICAC
2006
IEEE
15 years 6 months ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
117
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JAIR
2008
15 years 23 days ago
2008
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
119
Voted
IJCAI
2001
15 years 2 months ago
2001
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...