Knowledge Transfer, Alignment, and Interpretability: Modular Architectures and Inductive Biases in Deep Reinforcement
Finn Rietz, Sindri Magnússon
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Personalized Federated Reinforcement Learning via Model-Agnostic Meta-Learning: Convergence of Exact and Hessian-Free Meta-Policy Gradients
Together these results identify the adaptation step size as a tunable personalization knob and the curvature estimate as the quantity that governs whether exact meta-gradients are affordable.
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
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