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V2V cooperative sensing using reinforcement learning with action branching
Federated learning on the road autonomous controller design for connected and autonomous vehicles
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
Proxy experience replay:federated distillation for distributed reinforcement learning
Cooperative perception in vehicular networks using multi-agent reinforcement learning
Communication-efficient and federated multi-agent reinforcement learning
Risk-sensitive task fetching and offloading for vehicular edge computing
Massive autonomous UAV path planning:a neural network based mean-field game theoretic approach
Predictive closed-loop remote control over wireless two-way split Koopman autoencoder
Cooperative edge caching via multi agent reinforcement learning in fog radio access networks
Resource awareness in unmanned aerial vehicle-assisted mobile-edge computing systems
Information freshness-aware task offloading in air-ground integrated edge computing systems
Vehicular cooperative perception through action branching and federated reinforcement learning