Group role assignment with a training plan

L Zhang, Z Yu, H Zhu, Y Sheng - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Training is a cost-effective way to enhance individual ability, which is also of great
significance for group development. According to Role-Based Collaboration (RBC), the …

Group role assignment with a training plan considering the duration in adaptive collaboration

S Wu, M Pan, Y Fan, S Li… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Group Role Assignment (GRA) seeks the maximum group performance by assigning roles to
the most appropriate individual agents. As an extension of GRA, GRA with a Training Plan …

A new insight in medical resources scheduling of physical examination with adaptive collaboration

W Zhang, W Li, S Teng, D Liu - 2021 IEEE 24th International …, 2021 - ieeexplore.ieee.org
Medical resources of physical examination (PE) are often insufficient. The gap between
providers and demanders are always existing and becoming more and more sensitive in …

Group multi-role assignment with coupled roles

H Zhu - 2019 IEEE 16th International Conference on …, 2019 - ieeexplore.ieee.org
There are many different constraints when assigning agents to roles within a group. One
such constraint is role coupling.. It is a complex problem that cannot be solved without …

Rogc: Role-oriented graph convolution based multi-agent reinforcement learning

Y Liu, Y Li, X Xu, D Liu, Y Dou - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The role-oriented learning approach could improve the performance of multi-agent
reinforcement learning by decomposing complex multi-agent tasks into different roles …

Group role assignment with agents' busyness degrees

H Zhu, Y Zhu - 2017 IEEE International Conference on Systems …, 2017 - ieeexplore.ieee.org
Task allocations in collaboration are complex. This paper presents a challenging
assignment problem, called Group Role Assignment with Agents' Busyness Degrees …

Task allocation of multiagent groups in social networked systems

K Li, S Wu, Y Wen, Y Wang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In large-scale multiagent systems (MASs), agents are often organized in groups through
social networks. The advantages of group effectiveness cannot be fully achieved with …

Collaborative optimization of learning team formation based on multidimensional characteristics and constraints modeling: A team leader-centered approach via e …

H Ma, J Li, H Zhu, W Tang, Z Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the massive popularization of e-learning, collaborative learning via learning teams has
become indispensable to enhancing the learning efficiency and learning quality of overall …

Group role assignment via a Kuhn–Munkres algorithm-based solution

H Zhu, MC Zhou, R Alkins - IEEE Transactions on Systems …, 2011 - ieeexplore.ieee.org
Role assignment is a critical task in role-based collaboration. It has three steps, ie, agent
evaluation, group role assignment, and role transfer, where group role assignment is a time …

SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism

G Zhou, Z Xu, Z Zhang, G Fan - International Conference on Neural …, 2023 - Springer
Role-based multi-agent reinforcement learning (MARL) holds the promise of achieving
scalable multi-agent cooperation by decomposing complex tasks through the concept of …