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Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Self-organizing systems can perform complex tasks in unpredictable situations with adaptability. Previous work has introduced a multiagent reinforcement learning-based model as a design approach to solving the rule generation ...
Knowledge Acquisition of Self-Organizing Systems With Deep Multiagent Reinforcement Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Self-organizing systems (SOS) can perform complex tasks in unforeseen situations with adaptability. Previous work has introduced field-based approaches and rule-based social structuring for individual agents to not only ...
Efficient Training in Multiagent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Effective coordination is a critical challenge in the design of self-organizing systems (SOSs), particularly in decentralized training where explicit communication incurs high costs. Traditional approaches often ...
Impact of Oil Supply Conditions on Water Lubrication Assisted With Minimal Secondary Lubricating Medium
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Previous research has revealed that introducing a secondary lubricating medium can temporarily enhance water-lubricated bearing performance, thereby reducing the risk of lubrication failure under challenging conditions. ...
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