Author

A. PrashanthL.

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Preprint Aug 2026

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning

This work establishes finite-time rates of $\tilde{O} (1/\sqrt{n})$ for the aforementioned two algorithms under asynchronous Markovian sampling, where $n$ is the iteration index and $\tilde{O}$ hides logarithmic expressions.

Ankur Naskar, A. VivekT, Aditya Kumar et al. · 0 citations

Preprint Aug 2026

Optimized Certainty Equivalent Risk Minimization Using Samples: Algorithms, Convergence Rates, and Applications

This work provides a useful characterization of OCE that links OCE to utility-based shortfall risk (UBSR) and enables it to form an OCE estimator from the classic sample-average approximation of UBSR, and derives mean-squared error bounds for the proposed OCE estimator.

Sumedh Gupte, A. PrashanthL., Sanjay P. Bhat · 1 citation