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Found 9 papers, 0 papers with code
Emergent Behaviors in Multi-Agent Target Acquisition
Only limited studies and superficial evaluations are available on agents' behaviors and roles within a Multi-Agent System (MAS).
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination
Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provide windows of opportunity in various military tasks.
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
Achieving distributed reinforcement learning (RL) for large-scale cooperative multi-agent systems (MASs) is challenging because: (i) each agent has access to only limited information; (ii) issues on convergence or computational complexity emerge due to the curse of dimensionality.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
Recently introduced distributed zeroth-order optimization (ZOO) algorithms have shown their utility in distributed reinforcement learning (RL).
IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making
Deployment of Internet of Things (IoT) devices and Data Fusion techniques have gained popularity in public and government domains.
Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making
Digital information distribution often requires deployment of Internet of Things (IoT) devices and Data Fusion techniques which have also gained popularity in both, civilian and military environments, such as, emergence of Smart Cities and Internet of Battlefield Things (IoBT).
Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment
The military is investigating methods to improve communication and agility in its multi-domain operations (MDO).
Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra
Classification and identification of amino acids in aqueous solutions is important in the study of biomacromolecules.
