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A decentralized CF approach based on cooperative agents

Byeong Man Kim, Qing Li, Adele E. Howe
2006 Proceedings of the 15th international conference on World Wide Web - WWW '06  
In this paper, we propose a decentralized collaborative filtering (CF) approach based on P2P overlay network for the autonomous agents' environment.  ...  Experiments show that our approach is more scalable than traditional centralized CF filtering systems and alleviates the sparsity problem in distributed CF.  ...  OUR DISTRIBUTED CF APPROACH Instead of monolithic repositories situated on central servers to provide the recommendation service, we use a decentralized collaborative filtering algorithm based on a P2P  ... 
doi:10.1145/1135777.1135971 dblp:conf/www/KimLH06 fatcat:cqj6zllbzrhnlaa7id6dsgqn3m

Multi-Agent Actor-Critic with Generative Cooperative Policy Network [article]

Heechang Ryu, Hayong Shin, Jinkyoo Park
2018 arXiv   pre-print
Mainly, we are focused on obtaining decentralized policies for agents to maximize the performance of a collaborative task by all the agents, which is similar to solving a decentralized Markov decision  ...  We propose an efficient multi-agent reinforcement learning approach to derive equilibrium strategies for multi-agents who are participating in a Markov game.  ...  In the figure, the CF is excluded because it has global Q-network, not individual. The values ofFigure 4are normalized based on the MADDPG.  ... 
arXiv:1810.09206v1 fatcat:66pvdm42jnf3jnjqmuk7svo5ym

Decentralized Trust Evaluation in Vehicular Internet of Things

Siri Guleng, Celimuge Wu, Xianfu Chen, Xiaoyan Wang, Tsutomu Yoshinaga, Yusheng Ji
2019 IEEE Access  
The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node.  ...  A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly.  ...  This explains the advantage of the fuzzy logic-based approach that conducts a joint evaluation based on the cooperativeness factor, the honestness factor, and the responsibility factor.  ... 
doi:10.1109/access.2019.2893262 fatcat:jenujxd4o5de5gpxabyyhobh7i

Factor Graphs for Heterogeneous Bayesian Decentralized Data Fusion [article]

Ofer Dagan, Nisar R. Ahmed
2021 arXiv   pre-print
We validate our method in simulations of a multi-agent multi-target tracking and cooperative multi-agent mapping problems, and discuss the computation and communication gains of this approach.  ...  This allows heterogeneous multi-robot systems to cooperate on a variety of real world, task oriented missions, where scalability and modularity are key.  ...  In this paper we merge the Bayesian decentralized data fusion (DDF) approach, which sees each agent as an independent entity, inferring the variable of interest based on its local information, with probabilistic  ... 
arXiv:2106.13285v1 fatcat:ugma3kn4nbgvnhlxoh5rj4fyj4

Decentralized Cooperative Aerial Surveillance Using Fixed-Wing Miniature UAVs

R.W. Beard, T.W. McLain, D.B. Nelson, D. Kingston, D. Johanson
2006 Proceedings of the IEEE  
Our approach to cooperative control problems can be summarized in four steps: (1) the definition of a cooperation constraint and cooperation objective; (2) the definition of a coordination variable as  ...  the minimal amount of information needed to effect cooperation; (3) the design of a centralized cooperation strategy; and (4) the use of consensus schemes to transform the centralized strategy into a decentralized  ...  In [27] , a decentralized optimization method based on a bargaining algorithm is developed and applied to a multiple aircraft coordination problem.  ... 
doi:10.1109/jproc.2006.876930 fatcat:5h7mcosoufesjpuazmmrgmksue

Cooperative Mobile Robotics: Antecedents and Directions [chapter]

Y. Uny Cao, Andrew B. Kahng, Alex S. Fukunaga
1997 Robot Colonies  
There has been increased research i n terest in systems composed of multiple autonomous mobile robots exhibiting cooperative b e h a vior.  ...  In this paper, we give a critical survey of existing works and discuss open problems in this eld, emphasizing the various theoretical issues that arise in the study of cooperative robotics.  ...  Frank Meng assisted in the preparation of a previous version of this paper.  ... 
doi:10.1007/978-1-4757-6451-2_1 fatcat:4kvr3mnsavgr3fuu4qgtrcaism

Coalition formation among rational information agents [chapter]

Matthias Klusch, Onn Shehory
1996 Lecture Notes in Computer Science  
In order to deal with the required association autonomy of these agents, we h a ve developed a special decentralized coalition formation mechanism.  ...  In this paper we present an approach for cooperation and coalition formation among information agents for heterogeneous databases.  ...  The search for relevant data is achieved by a rational cooperation among the FCSI information agents. which is performed via a decentralized, utilitarian coalition formation cf. Sects. 4, 5.  ... 
doi:10.1007/bfb0031857 fatcat:mpxewv6upbblbml2wxxf7q53vq

Systematically Engineering Self-Organizing Systems: The SodekoVS Approach

Jan Sudeikat, Lars Braubach, Alexander Pokahr, Wolfgang Renz, Winfried Lamersdorf
2010 Electronic Communications of the EASST  
These compositions support hierarchical as well as completely decentralized solutions without a single point of failure.  ...  The SodekoVS project addresses the challenge to purposefully engineer adaptivity by proposing a new approach that considers the system architecture as well as the software development methodology as integral  ...  In [SR07b, RS08, SR09a] this approach has been proposed to describe the coordination in agent-based applications.  ... 
doi:10.14279/tuj.eceasst.17.194 dblp:journals/eceasst/SudeikatBPRL09 fatcat:riviqifjeffghcqzxzlgav3u5y

Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning

Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat, Yves-André Chapuis
2010 Journal of Intelligent and Robotic Systems  
We show how to apply reinforcement learning in a decentralized perspective and in order to address the global-local trade-off.  ...  Reinforcement learning is a popular approach to find controllers that are tailored exactly to the system without any prior model.  ...  The proposed control architecture is based on the game theory perspective, where a team of agents are cooperating to solve a joint task [24, 7] .  ... 
doi:10.1007/s10846-010-9396-9 fatcat:ucqcciu3yfhjvnonar7mpw2bcy

Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control [article]

Shriram Chennakesavalu, Grant M. Rotskoff
2021 arXiv   pre-print
a fully decentralized approach.  ...  We find that a fully decentralized approach performs remarkably well even with a "coarse" level of external control.  ...  Computational approach : We utilize a fully cooperative multi-agent Clipped Deep Q Learning approach [20, 21] to learn optimized protocols that minimize C.  ... 
arXiv:2111.06875v1 fatcat:owvtxa7hhzgdhjwyu4h3xpszqe

Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning

Laetitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
In this paper, we propose a semi-decentralized reinforcement learning control approach in order to position and convey an object on a contact-free MEMS-based distributedmanipulation system.  ...  Recently, a great deal of interest has been developed in learning in multi-agent systems to achieve decentralized control.  ...  The proposed control architecture is based on RL in cooperative multi-agent systems, where multiple agents are cooperating to solve a joint task [10] .  ... 
doi:10.1109/iros.2009.5353902 dblp:conf/iros/MatignonLF09 fatcat:goe4nk52ojhm7nyujmtm67l44m

Self-Organizing Redistribution of Bicycles in a Bike-Sharing System based on Decentralized Control

Thomas Preisler, Tim Dethlefs, Wolfgang Renz
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
The approach is based on a decentralized control framework that allows to equipping different distributed software systems with the control capabilities needed to realize the coordination efforts required  ...  A cooperativeness parameter is determined by the fraction of users that respond to an incentive by choosing the proposed stations.  ...  Both approaches rely on different types of feedback loops based on (usually) centralized control elements.  ... 
doi:10.15439/2016f126 dblp:conf/fedcsis/PreislerDR16 fatcat:4bste3warja3rivsnyvlwb5uli

Hierarchical Decentralized Robust Optimal Design for Homogeneous Linear Multi-Agent Systems [article]

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi, Shinji Hara
2016 arXiv   pre-print
Firstly, based on LQR method, we present a systematic procedure to design hierarchical decentralized optimal stabilizing controllers for MASs without disturbances/noise.  ...  This paper proposes novel approaches to design hierarchical decentralized robust controllers for homogeneous linear multi-agent systems (MASs) perturbed by disturbances/noise.  ...  Based on (34), the robust controller design for the MAS (2) now can be processed in a hierarchical decentralized manner, by designing the local robust controllers for new agents.  ... 
arXiv:1607.01848v1 fatcat:uof7snon6bfvldbsq2n64lbatm

Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy [article]

Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, Ning Lu
2021 arXiv   pre-print
This paper develops a reinforcement learning (RL)approach to solve a cooperative, multi-agent Volt-Var Control (VVC) problem for high solar penetration distribution systems.  ...  This new framework allows rewards to be dynamically allocated to each agent based on their contribution while accounting for the trade-off between control effectiveness and action cost.  ...  In general, there are three popular VVC approaches: rule-based, optimization-based, and more recently, machine learning-based.  ... 
arXiv:2111.11987v1 fatcat:rluyf4qmsjhulmqhayuoi43xau

Privacy-preserving Decentralized Optimization via Decomposition [article]

Chunlei Zhang, Huan Gao, Yongqiang Wang
2018 arXiv   pre-print
To address this issue, we propose a privacy-preserving decentralized optimization approach based on proximal Jacobian ADMM via function decomposition.  ...  To cooperatively solve the problem, most existing decentralized optimization approaches require participating agents to exchange and disclose estimates to neighboring agents.  ...  INTRODUCTION We consider the problem of privacy-preservation in decentralized optimization where N agents cooperatively minimize a global objective function of the following form: miñ xf (x) = N i=1 f  ... 
arXiv:1808.09566v2 fatcat:fqixiroanbbfhoq6uxcg7qye7a
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