Remote Contextual Bandits

Author:

Pase Francesco1,Gunduz Deniz1,Zorzi Michele1

Affiliation:

1. University of Padova,Padova,Italy

Funder

European Research Council

Publisher

IEEE

Reference24 articles.

1. Information-theoretic lower bounds for distributed statistical estimation with communication constraints;zhang;Advances in neural information processing systems,2013

2. Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation

3. Learning to communicate with deep multi-agent reinforcement learning;foerster,2016

4. Learning multiagent communication with backpropagation;sukhbaatar;Proc of 30th Int’l Conf on Neural Information Proc Systems,2016

5. Emergence of language with multi-agent games: Learning to communicate with sequences of symbols;havrylov;Advances in neural information processing systems,2017

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1. Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits;2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom);2024-07-08

2. Remote Control of Bandits Over Queues - Relevance of Information Freshness;2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt);2023-08-24

3. Goal-Oriented Scheduling in Sensor Networks With Application Timing Awareness;IEEE Transactions on Communications;2023-08

4. Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20

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