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20222026
most citedA Smooth Polynomial Lyapunov Certificate for Convergence of Q-Learning and Its Smooth Variants

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eess.SY2024

Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation

Donghwan Lee

This paper analyzes multi-step TD-learning algorithms within the `deadly triad' scenario, characterized by linear function approximation, off-policy learning, and bootstrapping. In…

eess.SY2022

Final Iteration Convergence Bound of Q-Learning: Switching System Approach

Donghwna Lee

Q-learning is known as one of the fundamental reinforcement learning (RL) algorithms. Its convergence has been the focus of extensive research over the past several decades. Recent…