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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity

arXiv cs.LG · 2026-08-03 Cached

This paper proposes a Hessian-free hypergradient-based bilevel reinforcement learning algorithm that achieves state-of-the-art sample complexity and removes the PL condition assumption in convergence analysis.

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