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ECML
2003
Springer
15 years 12 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
ECML
2003
Springer
15 years 12 months ago
Learning Context Free Grammars in the Limit Aided by the Sample Distribution
We present an algorithm for learning context free grammars from positive structural examples (unlabeled parse trees). The algorithm receives a parameter in the form of a finite se...
Yoav Seginer
FM
2003
Springer
104views Formal Methods» more  FM 2003»
15 years 12 months ago
Proving the Shalls
Incomplete, inaccurate, ambiguous, and volatile requirements have plagued the software industry since its inception. The convergence of model-based development and formal methods o...
Steven P. Miller, Alan C. Tribble, Mats Per Erik H...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 12 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 12 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui