Subject

Subjects : Execution Framework

  • Articles (3)
  • Patents (0)
  • R&D Reports (0)
논문 검색결과
Type Year Title Cited Download
Journal 2023 A Survey on Recent Advances in Multi-Agent Reinforcement Learning : Focusing on Decentralized Training with Decentralized Execution Framework   Shin Younghwan  전자통신동향분석, v.38, no.4, pp.95-103 원문
Journal 2022 CuMARL: Curiosity-Based Learning in Multiagent Reinforcement Learning   Ningombam Devarani Devi  IEEE Access, v.10, pp.87254-87265 9 원문
Conference 2012 TeeMo: A Generic Trusted Execution Framework for Mobile Devices   Young Ho Kim  International Conference on Computer, Networks, Systems, and Industrial Applications (CNSI) 2012, pp.579-583
특허 검색결과
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연구보고서 검색결과
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