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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 1 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
EWCBR
2008
Springer
13 years 9 months ago
Discovering Feature Weights for Feature-based Indexing of Q-tables
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, H&e...
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 11 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
SIGIR
2003
ACM
14 years 21 days ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute user...
Rinat Khoussainov, Nicholas Kushmerick
CIKM
2003
Springer
14 years 20 days ago
Automated index management for distributed web search
Distributed heterogeneous search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers d...
Rinat Khoussainov, Nicholas Kushmerick