Learning from unreliable trajectories: adversarially-robust federated Q-learning
Read the original at arxiv.org→arXiv:2610.06918v1 Announce Type: new Abstract: We study federated reinforcement learning in which multiple agents interact with a common Markov decision process and communicate through a central server to...
Original headline: "Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning"
Coverage timeline
- Oct 7, 04:00 UTC arXiv cs.LG lead source Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning