Výsledky vyhledávání - "approximation gradient based algorithm"

Recursive least-squares and accelerated convergence in stochastic approximation schemes Autor Ljung, Lennart

“…The so‐called accelerated convergence is an ingenuous idea to improve the asymptotic accuracy in stochastic approximation (gradient based) algorithms…”
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Improving Policy Optimization: Algorithms and Foundations Autor Wang, Baoxiang

“…Reinforcement learning (RL) studies algorithmic approaches to optimizing the policy in sequential decision processes. The recent success of RL in a variety of…”
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The Gambler's Problem and Beyond Autor Wang, Baoxiang, Li, Shuai, Li, Jiajin, Chan, Siu On

“…We analyze the Gambler's problem, a simple reinforcement learning problem where the gambler has the chance to double or lose the bets until the target is…”
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Aspects on accelerated convergence in stochastic approximation schemes Autor Ljung, L.

“…So called accelerated convergence is an ingenuous idea to improve the asymptotic accuracy in stochastic approximation (gradient based) algorithms…”
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