A survey of progress on cooperative multi-agent reinforcement learning in open environment
Multi-agent Reinforcement Learning (MARL) has gained wide attention in recent years and
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
Deep neural network based missing data prediction of electrocardiogram signal using multiagent reinforcement learning
S Banerjee, GK Singh - Biomedical Signal Processing and Control, 2021 - Elsevier
Objective Clinical morphology of electrocardiogram (ECG) signal is compulsory to analyze
the cardiac activity. During long term measurement, missing of data is a common factor …
the cardiac activity. During long term measurement, missing of data is a common factor …
A two-network adversarial game: Model, strategy, and structure
D Lyu, H Liu, L Wang, X Wang - Communications in Nonlinear Science and …, 2024 - Elsevier
Adversarial games between two groups offering a spectrum of mixed cooperative-
adversarial scenarios have been extensively focused on and studied, like video games and …
adversarial scenarios have been extensively focused on and studied, like video games and …
Advances in Computational Intelligence Techniques‐Based Multi‐Intersection Querying Theory for Efficient QoS in the Next Generation Internet of Things
An environment of physically linked, technologically networked things that can be found
online is known as the “Internet of Things.” With the use of various devices connected to a …
online is known as the “Internet of Things.” With the use of various devices connected to a …
Off-Beat Multi-Agent Reinforcement Learning
We investigate model-free multi-agent reinforcement learning (MARL) in environments
where off-beat actions are prevalent, ie, all actions have pre-set execution durations. During …
where off-beat actions are prevalent, ie, all actions have pre-set execution durations. During …
Research on combat simulation agent modelling methods combined with reinforcement learning
Y Wei, N Jiang, Z Zhang, M Zeng… - Journal of Intelligent & …, 2023 - content.iospress.com
Agent-based combat simulation is an important research method in the field of military
science and system simulation. Behaviour decision model plays the key role in the design of …
science and system simulation. Behaviour decision model plays the key role in the design of …
Collaborative Air Warfare Game Environment for Multi-Agent in 3D Space
Y Kou, S Deng, Z Li, A Xu, Y Lv, Z Xi… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This article centers on the creation of a training atmosphere for intelligent decision-making
techniques in air combat. By constructing and simulating various models, such as aircraft …
techniques in air combat. By constructing and simulating various models, such as aircraft …
Reinforcement Learning based System-of-Systems Approach for UAV Swarms Behavioral Evolution
R Raman, A Murugesan - 2022 IEEE International Systems …, 2022 - ieeexplore.ieee.org
Advances in Unmanned Aerial Vehicle (UAV) technologies have enabled the development
of biologically inspired swarms or fleets of UAVs that collaboratively achieve common …
of biologically inspired swarms or fleets of UAVs that collaboratively achieve common …
Research on Optimization Operation of Multi-entity Microgrid Based on Heterogeneous Multi-agent Reinforcement Learning
B Yao, C Peng, H Lu - Annual Conference of China Electrotechnical …, 2023 - Springer
The micro-grid multi-agent optimization operation including smart power users, EV charging
systems and solar energy storage systems is currently an effective way to reduce fossil …
systems and solar energy storage systems is currently an effective way to reduce fossil …
[PDF][PDF] Research Article Advances in Computational Intelligence Techniques-Based Multi-Intersection Querying Theory for Efficient QoS in the Next Generation Internet …
An environment of physically linked, technologically networked things that can be found
online is known as the “Internet of Tings.” With the use of various devices connected to a …
online is known as the “Internet of Tings.” With the use of various devices connected to a …