RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments

13 September 2022

Papers citing "RTAW: An Attention Inspired Reinforcement Learning Method for Multi-Robot Task Allocation in Warehouse Environments"

3 / 3 papers shown

Title
RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration Huajie Tan Xiaoshuai Hao Minglan Lin Pengwei Wang Yaoxu Lyu Mingyu Cao Zhongyuan Wang S. Zhang LM&Ro 48 0 0 06 May 2025
MAGNNET: Multi-Agent Graph Neural Network-based Efficient Task Allocation for Autonomous Vehicles with Deep Reinforcement Learning Lavanya Ratnabala A. Fedoseev Robinroy Peter Dzmitry Tsetserukou 80 1 0 04 Feb 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation Lucas C. D. Bezerra Ataíde M. G. dos Santos Shinkyu Park 35 0 0 29 Dec 2024