WebBesides, there are still some shortcomings in existing deep learning methods, e.g., the slow learning speed and the weak adaptability to new environments. To tackle these challenges, we propose a Deep Meta Reinforcement Learning-based Offloading (DMRO) algorithm, which combines multiple parallel DNNs with Q-learning to make fine-grained offloading … Web5 de jun. de 2024 · Hierarchical Reinforcement Learning (HRL) enables autonomous decomposition of challenging long-horizon decision-making tasks into simpler …

[2101.06521] Hierarchical Reinforcement Learning By …

Web30 de set. de 2024 · In this paper, we propose a new meta-RL algorithm called Meta Goal-generation for Hierarchical RL (MGHRL). Instead of directly generating policies over … Web16 de jan. de 2024 · Hierarchical Reinforcement Learning By Discovering Intrinsic Options. We propose a hierarchical reinforcement learning method, HIDIO, that can learn task-agnostic options in a self-supervised manner while jointly learning to utilize them to solve sparse-reward tasks. Unlike current hierarchical RL approaches that tend to … flower delivery in bangalore jayanagar

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning

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