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