Unified ODE convergence analysis for smooth Q-learning variants via p-norm Lyapunov functions, valid even when the Bellman operator is not a contraction.
Conv ergence results for single-step on-policy reinforcement-learning algorithms,
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Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms
Unified ODE convergence analysis for smooth Q-learning variants via p-norm Lyapunov functions, valid even when the Bellman operator is not a contraction.