Lyapunov-Certified Direct Switching Theory for Q-Learning

Researchers derive finite-time convergence guarantees for constant-stepsize Q-learning by modeling it as a stochastic switching system, using joint spectral radius analysis to tighten error bounds beyond standard approaches and provide computable certificates.

MentionsQ-learning · Lyapunov function · Joint spectral radius · Bellman maximization

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