Intrusion detection systems: A cross-domain overview
Nowadays, network technologies are essential for transferring and storing various
information of users, companies, and industries. However, the growth of the information …
information of users, companies, and industries. However, the growth of the information …
Building cooperative embodied agents modularly with large language models
In this work, we address challenging multi-agent cooperation problems with decentralized
control, raw sensory observations, costly communication, and multi-objective tasks …
control, raw sensory observations, costly communication, and multi-objective tasks …
Decentralized control of partially observable Markov decision processes
Markov decision processes (MDPs) are often used to model sequential decision problems
involving uncertainty under the assumption of centralized control. However, many large …
involving uncertainty under the assumption of centralized control. However, many large …
[ספר][B] A concise introduction to decentralized POMDPs
FA Oliehoek, C Amato - 2016 - Springer
This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …
cooperative systems. It is aimed at graduate students and researchers in the fields of …
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control
Q Nie, D Tang, C Liu, L Wang, J Song - Robotics and Computer-Integrated …, 2023 - Elsevier
The demands for mass individualization and networked collaborative manufacturing are
increasing, bringing significant challenges to effectively organizing idle distributed …
increasing, bringing significant challenges to effectively organizing idle distributed …
Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …
paradigm, under which massive amounts of data are used to train a classifier for a single …
Optimal and approximate Q-value functions for decentralized POMDPs
Decision-theoretic planning is a popular approach to sequential decision making problems,
because it treats uncertainty in sensing and acting in a principled way. In single-agent …
because it treats uncertainty in sensing and acting in a principled way. In single-agent …
[PDF][PDF] Collaborative multiagent reinforcement learning by payoff propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of
agents in a collaborative multiagent setting. As a basis we use the framework of coordination …
agents in a collaborative multiagent setting. As a basis we use the framework of coordination …
Decentralized control of cooperative systems: Categorization and complexity analysis
Decentralized control of cooperative systems captures the operation of a group of decision
makers that share a single global objective. The difficulty in solving optimally such problems …
makers that share a single global objective. The difficulty in solving optimally such problems …
Solving transition independent decentralized Markov decision processes
Formal treatment of collaborative multi-agent systems has been lagging behind the rapid
progress in sequential decision making by individual agents. Recent work in the area of …
progress in sequential decision making by individual agents. Recent work in the area of …