AdvB-TD3: A Novel Decision-Making Framework for Complex Continuous Control Tasks

Reinforcement learning has emerged as a transformative approach for solving complex decision-making problems, particularly in continuous action domains. In this study, we introduce the Advisory Board Twin Delayed Deep Deterministic Policy Gradient (AdvB-TD3) framework, which integrates the Twin Dela...

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Bibliografiske detaljer

Principais autores:	Onur Osman, Tolga Kudret Karaca, Bahar Yalcin Kavus, Gokalp Tulum
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Advisory board twin delayed deep deterministic policy gradient MuJoCo environments reinforcement learning twin delayed deep deterministic policy gradient
Online adgang:	https://ieeexplore.ieee.org/document/11202510/
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