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A survey on multi-player bandits
Due mostly to its application to cognitive radio networks, multiplayer bandits gained a lot of
interest in the last decade. A considerable progress has been made on its theoretical aspect …
interest in the last decade. A considerable progress has been made on its theoretical aspect …
Energy-Aware Spreading Factor Selection in LoRaWAN Using Delayed-Feedback Bandits
LoRaWAN networks can involve large numbers of wireless devices relying on batteries to
sense the environment and send data to gateways. A critical trade-off for transmission …
sense the environment and send data to gateways. A critical trade-off for transmission …
Efficient algorithms for multi-armed bandits with additional feedbacks: Modeling and algorithms
Multi-armed bandits (MAB) are widely applied to optimize networking applications such as
crowdsensing and mobile edge computing. Additional feedbacks (or partial feedbacks) on …
crowdsensing and mobile edge computing. Additional feedbacks (or partial feedbacks) on …
Lightweight learning algorithms for massive IoT and analysis of their performance
Executive summary We address in this deliverable parameters optimization as well as the
automation of devices configuration in massive IoT LoRaWAN scenarios. The utilization of …
automation of devices configuration in massive IoT LoRaWAN scenarios. The utilization of …
Sequential Learning in a strategical environment
E Boursier - 2021 - theses.hal.science
In sequential learning (or repeated games), data is acquired and treated on the fly and an
algorithm (or strategy) learns to behave as well as if it got in hindsight the state of nature, eg …
algorithm (or strategy) learns to behave as well as if it got in hindsight the state of nature, eg …
[CITÁCIA][C] Ecole Doctorale de Mathématique Hadamard (EDMH) n◦ 574
A Proutière - 2021 - Université Paris 2