Robust-Federated-Q-Learning-with-Almost-No-communication
Public?????? ???-? : A federated Q-learning algorithm that stays reliable even when a small fraction of agents are adversarial. It blends model-based/model-free updates with median-of-means to ensure (i) high-probability exact convergence in the infinite-sample limit and (ii) near-optimal finite-time rates with collaborative sample-complexity.
adversarial-machine-learningfederated-learningmultiagent-reinforcement-learningqlearning-algorithmreinforcement-learningrobust-optimization
Creat：2025-09-09T17:59:48
Update：2025-09-10T02:00:32
0
Stars
0
Stars Increase