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GECCO
2000
Springer
13 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...
MSS
1999
IEEE
14 years 13 hour ago
1999
IEEE
Recently TRW fielded a prototype system for a government customer. It provides a wide range of capabilities including data collection, hierarchical storage, automated distribution...
JSAC
2010
13 years 6 months ago
2010
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
NOCS
2007
IEEE
14 years 2 months ago
2007
IEEE
The paper introduces Network-on-Chip (NoC) design methodology and low cost mechanisms for supporting efficient cache access and cache coherency in future high-performance Chip Mul...
AAAI
2011
12 years 7 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...