Optimal selection strategy for multi-agent system with single leader

Author(s):  
Wen Yang ◽  
Ying Wang ◽  
Xiaofan Wang ◽  
Hongbo Shi ◽  
Linlin Ou
2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091696
Author(s):  
Xiaoli Liu

This article studies a multi-agent reinforcement learning algorithm based on agent action prediction. In multi-agent system, the action of learning agent selection is inevitably affected by the action of other agents, so the reinforcement learning system needs to consider the joint state and joint action of multi-agent based on this. In addition, the application of this method in the cooperative strategy learning of soccer robot is studied, so that the multi-agent system can pass through the environment. To realize the division of labour and cooperation of multi-robots, the interactive learning is used to master the behaviour strategy. Combined with the characteristics of decision-making of soccer robot, this article analyses the role transformation and experience sharing of multi-agent reinforcement learning, and applies it to the local attack strategy of soccer robot, uses this algorithm to learn the action selection strategy of the main robot in the team, and uses Matlab platform for simulation verification. The experimental results prove the effectiveness of the research method, and the superiority of the proposed method is validated compared with some simple methods.


Author(s):  
Henry Hung ◽  
Niteesh Sood ◽  
Koushil Sreenath

This paper proposes a method for optimal selection of number of agents in a cooperative multi-agent system for dynamic aerial transportation of a cable-suspended load along a desired trajectory. We consider the system of n planar quadrotors with a cable suspended load, show that this system is differentially flat, and study the effect of varying the number of quadrotors, load and quadrotor masses, on the maximum velocity of the load trajectory and minimum thrust required. We determine the minimum (maximum) number of agents required for traversing a load trajectory for various values of the load mass.


2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  

2012 ◽  
Vol 38 (11) ◽  
pp. 1880 ◽  
Author(s):  
Wei-Sheng YAN ◽  
Jun-Bing LI ◽  
Yin-Tao WANG

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