연구동향 분석

Exploring reward effi cacy in traffi c management using deep reinforcement learning in intelligent transportation system

Ananya Paul Sulata Mitra 2022년

논문상세정보
인용/피인용
' Exploring reward effi cacy in traffi c management using deep reinforcement learning in intelligent transportation system' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • DRL
  • PPO
  • edgecomputing
  • its
  • traffic signal
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
188 0

0.0%

' Exploring reward effi cacy in traffi c management using deep reinforcement learning in intelligent transportation system' 의 참고문헌

  • Traffic signal control using deep reinforcement learning with multiple resources of rewards
    D. Zhong [2019]
  • Management of traffic signals using deep reinforcement learning in bidirectional recurrent neural network in ITS
    A. Paul [2021]
  • Intellilight: A reinforcement learning approach for intelligent traffic light control
    H. Wei [2018]
  • Deep reinforcement learning based traffic signal optimization for multiple intersections in ITS
    A. Paul [2020]
  • Cooperative control for multi intersection traffic signal based on deep reinforcement learning and imitation learning
    Y. Huo [2020]
  • Assessment of reward functions for reinforcement learning traffic signal control under real-world limitations
    A. C. Egea [2020]
  • An efficient deep reinforcement learning model for urban traffic control
    Y. Lin [2018]
  • Adaptive traffic signal control: Exploring reward definition for reinforcement learning
    S. Touhbi [2017]
  • Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning