Author

Saunak Kumar Panda

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#machine learning Preprint Sep 2026

Nonparametric Variance-Penalized Actor-Critic: Statistical Inference for Risk-Sensitive Reinforcement Learning

Variance penalization is a principled approach to risk-sensitive reinforcement learning (RL) that explicitly trades expected return for policy stability. Existing methods require a dedicated second critic to estimate return variance online, adding architectural complexity and compounding estimation error during learnin...

Saunak Kumar Panda, Tong Li, Yi-Sha Xiang et al. · 0 citations

#machine learning Preprint Sep 2026

Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

Reinforcement learning (RL) agents deployed in real-world environments are often vulnerable to adversarial perturbations in state observations, creating risks in safety-critical applications. Certification methods can improve robustness against adversarial perturbations by providing lower bounds on expected cumulative...

Tong Li, Saunak Kumar Panda, Yi-Sha Xiang · 0 citations