Reinforcement Learning by Comparing Immediate Reward

This paper introduces an approach to Reinforcement Learning Algorithm by comparing their immediate rewards using a variation of Q-Learning algorithm. Unlike the conventional Q-Learning, the proposed algorithm compares current reward with immediate reward of past move and work accordingly. Relative r...

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Veröffentlicht in:	arXiv.org 2010-09
Hauptverfasser:	Pandey, Punit, Pandey, Deepshikha, Kumar, Shishir
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer simulation Interactive learning Machine learning
Online-Zugang:	Volltext
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