Robuta

https://www.nber.org/papers/w29716 Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational... Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings... minimax regretclimate policy https://openreview.net/forum?id=okCqx1RdIw Mitigating Goal Misgeneralization via Minimax Regret | OpenReview Safe generalization in reinforcement learning requires not only that a learned policy acts capably in new situations, but also that it uses its capabilities... minimax regretmitigatinggoalviaopenreview https://deepai.org/publication/stochastic-shortest-path-minimax-parameter-free-and-towards-horizon-free-regret Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret | DeepAI Apr 22, 2021 - 04/22/21 - We study the problem of learning in the stochastic shortest path (SSP) setting, where an agent seeks to minimize the expected cost... shortest pathstochasticminimaxparameter https://www.scirp.org/journal/paperinformation?paperid=44883 Wind Power Bidding Strategy Based on the Minimax Regret Criterion with Limited Distribution... Discover an effective optimal bidding strategy for wind power output using limited distribution information. This paper introduces a new approach based on the... https://openreview.net/forum?id=8SEJ8AT_6Dl Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers | OpenReview Quantile (and, more generally, KL) regret bounds, such as those achieved by NormalHedge (Chaudhuri, Freund, and Hsu 2009) and its variants, relax the goal of... https://openreview.net/forum?id=cc_AXK6rWPJ Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret | OpenReview We derive a new learning algorithm for stochastic shortest path, whose regret guarantee is 1) simultaneously (nearly) minimax and parameter-free, and 2)... shortest pathstochasticminimaxparameter https://arxiv.org/abs/2507.03068 [2507.03068] Mitigating Goal Misgeneralization via Minimax Regret Abstract page for arXiv paper 2507.03068: Mitigating Goal Misgeneralization via Minimax Regret 250703068mitigatinggoalvia