Results 131 to 140 of about 404,230 (315)
Exploring the limits of hierarchical world models in reinforcement learning
Scientific ReportsHierarchical model-based reinforcement learning (HMBRL) aims to combine the sample efficiency of model-based reinforcement learning with the abstraction capability of hierarchical reinforcement learning.
Robin Schiewer +2 more
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Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT
IEEE AccessThe Industrial Internet of Things (IIoT) presents significant challenges in task offloading, resource allocation, and energy efficiency, necessitating intelligent, scalable, and adaptive solutions.
S. Benila, K. Devi
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Hierarchical reinforcement learning for spoken dialogue systems [PDF]
, 2009 This thesis focuses on the problem of scalable optimization of dialogue behaviour in speech-based conversational systems using reinforcement learning. Most previous investigations in dialogue strategy learning have proposed flat reinforcement learning methods, which are more suitable for small-scale spoken dialogue systems. This research formulates the
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A hierarchical reinforcement learning method for missile evasion and guidance. [PDF]
Sci Rep, 2022 Yan M, Yang R, Zhang Y, Yue L, Hu D.
europepmc +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Advanced Robotics Research, EarlyView.Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Hierarchical Object Detection with Deep Reinforcement Learning
, 2017 This work introduces a model for Hierarchical Object Detection with Deep Reinforcement Learning (HOD-DRL). The key idea is to focus on those parts of the image that contain richer information and zoom on them. We train an intelligent agent that, given an image window, is capable of deciding where to focus the attention on five different predefined ...
Bellver, Míriam +3 more
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A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning. [PDF]
Flex Serv Manuf J, 2023 Zhang R, Lv J, Bao J, Zheng Y.
europepmc +1 more source
Advanced Science, EarlyView.This study reveals that Urolithin A (UA) counteracts alcohol‐induced cognitive and social dysfunction (AICSD) via a gut microbiome‐dependent mechanism. UA‐enriched Bacteroids sartorii and Parabacteroids distasonis elevate anandamide (AEA), which activates the CB1R‐DRD2‐Rap1 signaling cascade to drive synaptic repair and reduce neuroinflammation ...
Hongbo Zhang +9 more
wiley +1 more source
Intelligent air defense task assignment based on hierarchical reinforcement learning. [PDF]
Front Neurorobot, 2022 Liu JY, Wang G, Guo XK, Wang SY, Fu Q.
europepmc +1 more source
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source