PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Self-Growth of Basic Behaviors in an Action Selection Based Agent
Olivier Buffet, Alain Dutech and Francois Charpillet
In: International Conference on Simulation of Adaptive Behavior (SAB'04)(2004).


We investigate on designing agents facing multiple objectives simultaneously, that creates dif- cult situations, even if each objective is of low complexity. The present paper builds on an existing action selection process based on basic behaviors (resulting in a modular architecture) and proposes an algorithm for automatically selecting and learning the required basic behaviors through an incremental Reinforcement Learning approach. This leads to a very autonomous architecture, as the hand-coding is here reduced to its minimum.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:859
Deposited By:Adam Kowalczyk
Deposited On:02 January 2005