ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.00746
  4. Cited By
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning
  for Decentralized Traffic Signal Control
v1v2v3v4v5 (latest)

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
4 January 2021
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
ArXiv (abs)PDFHTML

Papers citing "MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control"

1 / 1 papers shown
Title
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control
Yifeng Zhang
Yilin Liu
Ping Gong
Peizhuo Li
Mingfeng Fan
Guillaume Sartoretti
144
0
0
14 Mar 2025
1