New Research Frames Bandit Algorithms Around Risk-Sensitive Decision Theory

This story is from 2026-11-06. It is preserved in the archive; the latest stories are on the live feed.

A new paper studies non-parametric bandits where arms are evaluated using Cumulative Prospect Theory instead of expected reward, including settings with continuous action spaces.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

2026-11-06 05:00 · arXiv stat.ML
Risk-Sensitive Non-Parametric and Kernel Bandits

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