Results 51 to 60 of about 387,064 (296)
Automatic Hierarchical Reinforcement Learning for Reusing Service Process Fragments
IEEE Access, 2021 Prevailing research trend is to use Web services for data publishing and sharing among organizations, but existing works often fall short of service reuse.
Rong Yang, Bing Li, Zhengli Liu
doaj +1 more source
Hierarchical object detection with deep reinforcement learning [PDF]
, 2016 We present a method for performing hierarchical object detection in images guided by a deep reinforcement learning agent. 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
Bellver Bueno, Míriam +3 more
core
Video Captioning via Hierarchical Reinforcement Learning
, 2018 Video captioning is the task of automatically generating a textual description of the actions in a video. Although previous work (e.g. sequence-to-sequence model) has shown promising results in abstracting a coarse description of a short video, it is ...
Chen, Wenhu +4 more
core +1 more source
Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
, 2019 We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytelling task.
Celikyilmaz, Asli +5 more
core +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Hierarchical Reinforcement Learning for Crude Oil Supply Chain Scheduling
Algorithms, 2023 Crude oil resource scheduling is one of the critical issues upstream in the crude oil industry chain. It aims to reduce transportation and inventory costs and avoid alerts of inventory limit violations by formulating reasonable crude oil transportation ...
Nan Ma +6 more
doaj +1 more source
Automata guided hierarchical reinforcement learning for zero-shot skill composition [PDF]
, 2017 An obstacle that prevents the wide adoption of (deep) reinforcement learning (RL) in control systems is its need for a large amount of interactions with the environment in order to master a skill.
Belta, Calin, Li, Xiao, Ma, Yao
core
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
, 2019 Robotic systems are ever more capable of automation and fulfilment of complex tasks, particularly with reliance on recent advances in intelligent systems, deep learning and artificial intelligence.
Beyret, Benjamin +2 more
core +1 more source
Automotive Innovation, 2022 As intelligent vehicles usually have complex overtaking process, a safe and efficient automated overtaking system (AOS) is vital to avoid accidents caused by wrong operation of drivers.
Hongliang Lu +4 more
semanticscholar +1 more source