연구동향 분석

예산제약이 존재하는 다기간, 다제품 재고관리문제에서 강화학습 기법의 효율성 개선 방안 연구

김지헌 민대기 2022년

논문상세정보
인용/피인용
' 예산제약이 존재하는 다기간, 다제품 재고관리문제에서 강화학습 기법의 효율성 개선 방안 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Constrained action
  • Distributed Q-learning
  • Inventory control problem
  • markov decision process
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
18 0

0.0%

' 예산제약이 존재하는 다기간, 다제품 재고관리문제에서 강화학습 기법의 효율성 개선 방안 연구' 의 참고문헌

  • 예산제약을 고려한 다기간 Newsvendor 문제에서의 Q-learning 기법 적용
    박나희 [2022]
  • Uniform distribution of inventory positions in two-echelon periodic review systems with batch-ordering policies and interdependent demands
    Chen, F. Y. [2002]
  • The newsstand problem : A capacitated multiple-product single-period inventory problem
    Lau, H. -S. [1996]
  • Robust multi-item newsboy models with a budget constraint
  • Reinforcement learning approaches for specifying ordering policies of perishable inventory systems
    Kara, A. [2018]
  • Reinforcement Learning: An Introduction
    Sutton RS [2018]
  • Q-learning in a competitive supply chain
  • Optnet:Differentiable optimization as a layer in neural networks
    Amos, B. [2017]
  • Optlayer-practical constrained optimization for deep reinforcement learning in the real world
    Pham, T. H. [2018]
  • Optimizing multi-item multi-period inventory control system with discounted cash flow and inflation : Two calibrated meta-heuristic algorithms
  • Optimal policies for multi-echelon inventory problems with Markov-modulated demand
    Chen, F. [2001]
  • Optimal energy management strategies for energy Internet via deep reinforcement learning approach
    Hua, H. [2019]
  • On the constrained multi-item single-period inventory problem
  • Inventory management in supply chains : a reinforcement learning approach
  • Exact, approximate, and generic iterative models for the multi-product newsboy problem with budget constraint
  • Elements of effective deep reinforcement learning towards tactical driving decision making
  • Deep reinforcement learning for inventory control : A roadmap
  • Can deep reinforcement learning improve inventory management? Performance on dual sourcing, lost sales and multi-echelon problems
  • Analysis of inventory systems
    Hadley, G. [1963]
  • Analyses about efficiency of reinforcement learning to supply chain ordering management
    Sun, R. [2012]
  • An analysis of the multi-product newsboy problem with a budget constraint
  • Adaptive power management using reinforcement learning
    Tan, Y. [2009]
  • Adaptive call admission control under quality of service constraints : A reinforcement learning solution
    Tong, H. [2000]
  • A reinforcement learning model for supply chain ordering management : An application to the beer game
  • A genetic algorithm approach for multi-product multi-period continuous review inventory models
  • A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems