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Showing 1 to 1 of 1 for “"Federated Learninig"”.
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Data-Driven Routing for Autonomous Trucks: Learning from Human Behavior with Context Awareness and Privacy Protection
… while preserving data privacy. First, Meta-Federated Adversarial Inverse Reinforcement Learning enables multiple fleet operators to jointly learn a shared reward model without exchanging raw trajectory data. Second, a Multi-Agent Deep Q-Network (MA-DQN) uses this learned reward to coordinate …