Dynamic weights and prior reward in policy fusion for compound agent learning

Strengthening Cooperative Consensus in Multi-Robot Confrontation

M Xu, X Chen, Y She, Y Jin, G Zhao… - ACM Transactions on …, 2024 - dl.acm.org
Multi-agent reinforcement learning (MARL) has proven effective in training multi-robot
confrontation, such as StarCraft and robot soccer games. However, the current joint action …
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Progressive Hierarchical Deep Reinforcement Learning for defect wafer test

M Xu, X Chen, Y She, J Wang - Knowledge-Based Systems, 2024 - Elsevier
Wafer testing plays a critical role in the wafer fabrication process. It involves using a probe to
inspect all the wafers on a map, which presents a Coverage Path Planning (CPP) problem …
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Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning

M Xu, X Chen, J Wang - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Lifelong deep reinforcement learning (DRL) approaches are commonly employed to adapt
continuously to new tasks without forgetting previously acquired knowledge. While current …
被引用次数：2 相关文章 所有 5 个版本

Multi-Layered Algorithm for Chinese Cultural Dissemination Power Based on Feature Selection and Weight Learning

X Yan - International Journal of High Speed Electronics and …, 2024 - World Scientific
This paper presents an innovative approach to analyzing and enhancing the effectiveness of
cultural dissemination using a multi-layered algorithm framework based on feature selection …
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