DRONE-RL: Dynamic Reinforcement Learning for Online Navigation of UAVs in Evolving Environments
Dynamic reinforcement learning for online UAV navigation in evolving environments.
Dynamic reinforcement learning for online UAV navigation in evolving environments.
Online-learning framework for network slicing supporting AI services.
Online learning for UAV search missions in adversarial, non-stationary environments.
An optimistic learning framework for online caching that leverages recommendations to improve regret without sacrificing worst-case guarantees.
Review of reinforcement learning techniques for intelligent healthcare systems.
DRL-assisted federated learning for online resource allocation in privacy-preserving EdgeIoT.
Survey of resource-efficient distributed AI for IoT applications.
Multi-agent RL for network selection and resource allocation in multi-RAT networks.
Communication-efficient hierarchical federated learning for heterogeneous IoT systems.
Smart-agent design for service provisioning in blockchain-powered systems.