Self-Balancing Sequential Sampling: Fast Convergence with Controlled Predictability

arXiv:2607.20818 · math.PR, stat.ME, stat.ML · Submitted 2026-07-23 · Read on arXiv

math.PR, stat.ME, stat.ML

Submitted: 2026-07-23

Updated: 2026-08-24

Comments: 47 pages, 5 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Regularization — 7× in this paper · explained in 3 episodes
• Robustness — 6× in this paper · explained in 6 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Entropy Regularization — 3× in this paper · explained in 2 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Lyapunov function — 2× in this paper · explained in 2 episodes
• Selection Bias — 2× in this paper · explained in 5 episodes
• Clarity — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Kullback–Leibler Divergence — 1× in this paper · explained in 2 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Ornstein–Uhlenbeck Process — 1× in this paper · explained in 3 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Sample Efficiency — 1× in this paper · explained in 7 episodes

Sources

• Self-Repellent Random Walks on General Graphs -- Achieving Minimal Sampling Variance via Nonlinear Markov Chains
• Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
• Maximum Entropy Differential Dynamic Programming

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