Cooperative Learning in Multiagent Systems from Intermittent Measurements

DOI10.1137/120891010zbMath1336.93179arXiv1209.2194OpenAlexW2176039430MaRDI QIDQ2810049

Naomi Ehrich Leonard, Alex Olshevsky

Publication date: 31 May 2016

Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1209.2194

zbMATH Keywords

learning theorydistributed controlmultiagent systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Decentralized systems (93A14) Stochastic learning and adaptive control (93E35)

Related Items (5)

Stochastic consensus of discrete-time second-order multi-agent systems with measurement noises and time delays ⋮ Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms ⋮ Consensus Conditions of Continuous-Time Multi-Agent Systems with Additive and Multiplicative Measurement Noises ⋮ Adaptive network dynamics and evolution of leadership in collective migration ⋮ Distributed parameter estimation in unreliable WSNs: quantized communication and asynchronous intermittent observation

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