A Contraction Framework for Stochastic Operators with Bootstrapping: Application to TD Learning

arXiv:2609.29961 · cs.LG, eess.SP, math.OC · Submitted 2026-09-24 · Read on arXiv

cs.LG, eess.SP, math.OC

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Q-learning — 3× in this paper · explained in 3 episodes
• Convergence Guarantees — 2× in this paper · explained in 3 episodes
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes

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