A Hessian-free single-loop actor-critic algorithm achieves finite-time convergence to the unregularized bi-level RL optimum using attenuating entropy regularization under a special Polyak-Lojasiewicz condition.
Unlocking global optimality in bilevel optimization: A pilot study.arXiv preprint arXiv:2408.16087,
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A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
A Hessian-free single-loop actor-critic algorithm achieves finite-time convergence to the unregularized bi-level RL optimum using attenuating entropy regularization under a special Polyak-Lojasiewicz condition.