Caspar G. Chorus, et al, A Random Regret-Minimization model of travel choice, Transportation Research Part B: Methodological, Volume 42, Issue 1, January 2008.C.G. Chorus, T.A. Arentze, and H.J.P. Timmermans. A
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Motivated by this recent interest in non-RUM decision-rules this paper proposes to use a so-called random regret minimization-based behavioral model that has recently been successfully introduced in a range of travel demand studies. This so-called RRM-model (Chorus, 2010) postulates that consumers...
a regret minimization framework—“遗憾最小化模型”,很多年前父亲告诉我这个思维框架(1998年—1999年他多次说过的,对我有启发,所以记得很清楚)。今天居然看到,杰夫·贝索斯也一直在使用这个模型用于决策,原来英雄所见略同(开玩笑)。只不过,说易行难,人生难免会有遗憾。想要“无憾无缺”,也是人性的贪婪和短见。信仰...
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Recent years have witnessed the great achievement of the AI-driven intelligent games, such as AlphaStar defeating the human experts, and numerous intelligent games have come into the public view. Essentially, deep reinforcement learning (DRL), especially multiple-agent DRL (MADRL) has empowered a ...
Estimating Rare Probabilities [random] TL;DR: When dealing with rare events (e.g., surgical fatalities) where no failures have been observed (so far), traditional statistical methods fail. This post explores practical approaches to estimate these probabilities. Nov 19, 2024 On the Byzantine-Re...
A regret minimization framework is abusinessheuristic that enables you to make a decision, by projecting yourself in the future, at an old age, and visualize whether the regrets of missing anopportunitywould hunt you down, vs. having taken theopportunityand failed. In short, if taking action ...
Influence of pricing on mode choice decision in Jakarta: a random regret minimization model Case Studies on Transport Policy, 7 (1) (2019), pp. 87-95 View PDFView articleView in ScopusGoogle Scholar [14] E. Mirzaei, R. Kheyroddin, D. Mignot Exploring the effect of the built environment...
Regret minimization. This approach is coherent with the objective of maximizing the cumulative reward observed over many trials. In this case, the learner must balance exploration, namely trying out different arms to learn more about the reward distributions, with exploitation, i.e., using current ...