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. 2212.02692
  4. Cited By
Learning Locally, Communicating Globally: Reinforcement Learning of
  Multi-robot Task Allocation for Cooperative Transport

Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport

IFAC-PapersOnLine (IFAC-PapersOnLine), 2022
6 December 2022
Kazuki Shibata
Tomohiko Jimbo
Tadashi Odashima
Keisuke Takeshita
Takamitsu Matsubara
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport"

3 / 3 papers shown
Title
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation
Huilin Yin
Zhikun Yang
Linchuan Zhang
Daniel Watzenig
259
0
0
07 Apr 2025
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible TasksIEEE/SICE International Symposium on System Integration (SII), 2024
Yuma Shida
Tomohiko Jimbo
Tadashi Odashima
Takamitsu Matsubara
175
2
0
20 Feb 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task AllocationIEEE Robotics and Automation Letters (RA-L), 2024
Lucas C. D. Bezerra
Ataíde M. G. dos Santos
Shinkyu Park
204
0
0
29 Dec 2024
1