Experimental analysis on Sarsa(λ) and Q(λ) with different eligibility traces strategies
نویسندگان
چکیده
منابع مشابه
Experimental analysis of eligibility traces strategies in temporal difference learning
Temporal difference (TD) learning is a model-free reinforcement learning technique, which adopts an infinite horizon discount model and uses an incremental learning technique for dynamic programming. The state value function is updated in terms of sample episodes. Utilising eligibility traces is a key mechanism in enhancing the rate of convergence. TD(λ) represents the use of eligibility traces...
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ژورنال
عنوان ژورنال: Journal of Intelligent & Fuzzy Systems
سال: 2009
ISSN: 1064-1246
DOI: 10.3233/ifs-2009-0416