Cooperative multi-agent learning: The state of the art
Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …
Optimization of global production scheduling with deep reinforcement learning
Abstract Industrie 4.0 introduces decentralized, self-organizing and self-learning systems for
production control. At the same time, new machine learning algorithms are getting …
production control. At the same time, new machine learning algorithms are getting …
Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system
Personalized production has emerged as a result of the increasing customer demand for
more personalized products. Personalized production systems carry a greater amount of …
more personalized products. Personalized production systems carry a greater amount of …
Deep reinforcement learning for semiconductor production scheduling
Despite producing tremendous success stories by identifying cat videos [1] or solving
computer as well as board games [2],[3], the adoption of deep learning in the semiconductor …
computer as well as board games [2],[3], the adoption of deep learning in the semiconductor …
[PDF][PDF] Intelligent traffic light control
Vehicular travel is increasing throughout the world, particularly in large urban areas.
Therefore the need arises for simulating and optimizing traffic control algorithms to better …
Therefore the need arises for simulating and optimizing traffic control algorithms to better …
[图书][B] Traderbots: A new paradigm for robust and efficient multirobot coordination in dynamic environments
MB Dias - 2004 - search.proquest.com
The challenge of efficient multirobot coordination has risen to the forefront of robotics
research in recent years. The wide range of applications demanding multirobot solutions …
research in recent years. The wide range of applications demanding multirobot solutions …
Information agent technology for the internet: A survey
M Klusch - Data & Knowledge Engineering, 2001 - Elsevier
The vast amount of heterogeneous information sources available on the Internet demands
advanced solutions for acquiring, mediating, and maintaining relevant information for the …
advanced solutions for acquiring, mediating, and maintaining relevant information for the …
[图书][B] Intelligent information agents: agent-based information discovery and management on the Internet
M Klusch - 2012 - books.google.com
Agent technology has recently become one of the most vibrant and fastest growing areas in
information technology. Within this booming area, intelligent information agents are …
information technology. Within this booming area, intelligent information agents are …
Multi-robot task allocation through vacancy chain scheduling
Modeling the effects of robot interaction in multi-robot systems, ie, the group dynamics, is
difficult due to the complexity of such interactions. This article formalizes the concept of …
difficult due to the complexity of such interactions. This article formalizes the concept of …
A reinforcement learning method for multi-AGV scheduling in manufacturing
T Xue, P Zeng, H Yu - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
This paper addresses a multi-AGV flow-shop scheduling problem with a reinforcement
learning method. Each AGV equipped with a robotic manipulator, operates on the fixed …
learning method. Each AGV equipped with a robotic manipulator, operates on the fixed …