Cooperative multi-agent reinforcement learning (MARL) has made prominent progress in
recent years. For training efficiency and scalability, most of the MARL algorithms make all …

This paper investigates the fair-effective communication and robustness in imperfect and
energy-constrained underwater acoustic sensor networks (IC-UASNs). Specifically, we …

Recent approaches have utilized self-supervised auxiliary tasks as representation learning
to improve the performance and sample efficiency of vision-based reinforcement learning …

Underwater wireless sensor networks (UWSNs) stand as promising technologies facilitating
diverse underwater applications. However, the major design issues of the considered …

Adaptive serious games offer a new frontier for education, especially in complex topics.
However, optimal methods for in-game adaptation are still being explored to address …

Behavior trees have attracted great interest in computer games and robotic applications.
However, it lacks the learning ability for dynamic environments. Previous works combining …

Cross-lingual summarization (CLS) is the task of generating a summary in a target language
from a document in a source language. Recently, end-to-end CLS models have achieved …

The field of research on multi-agent reinforcement learning (MARL) algorithms in selfdriving
vehicles is rapidly expanding in mixed-traffic scenarios where autonomous vehicles (AVs) …

Modeling and simulation of the marine engine system is a highly complex system that
involves many components such as cabin equipment, marine engineers, navigators, and …

跨语言摘要是从源语言文档生成目标语言摘要的任务. 最**, 端到端跨语言摘要模型通过使用大
规模, 高质量数据集取得令人瞩目的结果, 这些数据集通常是通过将单语摘要语料库翻译成跨 …