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GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 9 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
ICML
1994
IEEE
15 years 9 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
ISCAPDCS
2001
15 years 7 months ago
A Study of Parallel Monitoring Algorithm in ATM Network Admission Control
Admission control strategies play an important role in congestion control and in guaranteeing the quality of service in Asynchronous Transfer Mode (ATM) networks. Three categories...
Mansoor Alam, Carl Weisfelder, Min Song
NIPS
2001
15 years 7 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
151
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ICMAS
2000
15 years 7 months ago
Assessing Usage Patterns to Improve Data Allocation via Auctions
The data allocation problem in incomplete information environments consisting of self-motivated servers responding to users' queries is considered. Periodically, the servers ...
Rina Azoulay-Schwartz, Sarit Kraus