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» Learning Recursive Control Programs from Problem Solving
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JAIR
2002
163views more  JAIR 2002»
13 years 5 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
GPEM
2006
97views more  GPEM 2006»
13 years 6 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong
CPM
2000
Springer
143views Combinatorics» more  CPM 2000»
13 years 10 months ago
Explaining and Controlling Ambiguity in Dynamic Programming
Abstract. Ambiguity in dynamic programming arises from two independent sources, the non-uniqueness of optimal solutions and the particular recursion scheme by which the search spac...
Robert Giegerich
IAT
2006
IEEE
14 years 3 days ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 7 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood