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Topic: Adaptation and Learning

ADAPTATION AND LEARNING

Fundamental social learning scaling law for tracking hidden Markov models

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Multi-agent reinforcement learning in partially observable environments using social learning,

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Non-asymptotic performance of social machine learning under limited data

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Diffusion stochastic optimization for min-max problems

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Causal influence in federated edge inference

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Compressed regression over adaptive networks

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Networked signal and information processing

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Optimal aggregation strategies for social learning over graphs

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Policy evaluation in decentralized POMDPs with belief sharing

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Quantization for decentralized learning under subspace constraints

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ASL

The Adaptive Systems Laboratory at EPFL fosters a rich interdisciplinary research program on the analysis and design of adaptive systems and networks with cognitive and learning abilities.

Find us

Address
EPFL School of Engineering
BM 4102
Station 17
CH-1015 Lausanne
Switzerland

Professor
Ali H. Sayed
email: ali.sayed@epfl.ch
phone: +41 21 693 69 44

Assistant
Patricia Vonlanthen
email: patricia.vonlanthen@epfl.ch
phone: +41 21 693 69 61

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