Deep neural networks (DNNs) have achieved tremendous success in various
...
The general sequential decision-making problem, which includes Markov
de...
We propose a novel privacy-preserving uplink over-the-air computation
(A...
This paper investigates conservative exploration in reinforcement learni...
This paper studies federated linear contextual bandits under the notion ...
General function approximation is a powerful tool to handle large state ...
In reward-free reinforcement learning (RL), an agent explores the enviro...
While the primary goal of the exploration phase in reward-free reinforce...
This paper presents a novel federated linear contextual bandits model, w...