Optimal selection strategy for multi-agent system with single leader

2012 ◽  
Author(s):  
Wen Yang ◽  
Ying Wang ◽  
Xiaofan Wang ◽  
Hongbo Shi ◽  
Linlin Ou
Keyword(s):  
Selection Strategy ◽  
Optimal Selection ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Research on decision-making strategy of soccer robot based on multi-agent reinforcement learning

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142091696
Author(s):  
Xiaoli Liu
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Learning Algorithm ◽  
Division Of Labour ◽  
Learning System ◽  
Selection Strategy ◽  
Multi Agent System ◽  
Soccer Robot ◽  
Agent System ◽  
Multi Agent

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.

Determining Minimum and Maximum Number of Agents Required for Planar Cable-Suspended Aerial Manipulation

2016 ◽  
Author(s):  
Henry Hung ◽  
Niteesh Sood ◽  
Koushil Sreenath
Keyword(s):  
Maximum Velocity ◽  
Suspended Load ◽  
Optimal Selection ◽  
Multi Agent System ◽  
Aerial Manipulation ◽  
Agent System ◽  
Multi Agent ◽  
Selection Of ◽  
Load Mass

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.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent

Consensus for Damaged Multi-agent System

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