Fetching the paper…
Reading the bibliography…
Before delegating a task to an autonomous system, a human operator may want a guarantee about the behavior of the system.
The limits of distribution-free conditional predictive inference
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan J. Tibshirani · 1903
Earlier work this paper cites.
Conformalized quantile regression
Yaniv Romano, Evan Patterson, and Emmanuel J Candès · 1905
Earlier work this paper cites.
Note on interpolated order statistics
J. Nyblom · 1992
Earlier work this paper cites.
Predictive Inference: An Introduction
Seymour Geisser · 1993
Earlier work this paper cites.
Tamarisk control: I. Fighting back
Andy Sudbrock · 1993
Earlier work this paper cites.
Chronology of the spread of tamarisk in the central Rio Grande
B. L. Everitt · 1998
Earlier work this paper cites.
Inductive confidence machines for regression
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman · 2002
Earlier work this paper cites.
Action Elimination and Stopping Conditions for Reinforcement Learning
Eyal Even-Dar, Shie Mannor, and Yishay Mansour · 2003
Earlier work this paper cites.
Quantile Regression
Roger Koenker · 2005
Earlier work this paper cites.
Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Quantile regression forests
Nicolai Meinshausen · 2006
Earlier work this paper cites.
A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
Cited alongside, same era.
Nonparametric return distribution approximation for reinforcement learning
Tetsuro Morimurat, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, and Toshiyuki Tanaka · 2010
Cited alongside, same era.
Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, and Doina Precup · 2011
Cited alongside, same era.
Distribution-free prediction sets
Jing Lei, James Robins, and Larry Wasserman · 2012
Cited alongside, same era.
Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
Cited alongside, same era.
”Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
Distributional Reinforcement Learning with Quantile Regression
Will Dabney, Mark Rowland, Marc G. Bellemare, and Rémi Munos · 2018
Later among the works it cites.
Optimal spatial-dynamic management of stochastic species invasions
Kim Meyer Hall, Heidi J. Albers, Majid Alkaee Taleghan, and Thomas G. Dietterich · 2018
Later among the works it cites.
Explainable Reinforcement Learning: A Survey
Erika Puiutta and Eric M S P Veith · 2020
Later among the works it cites.
Function-on-Function Partial Quantile Regression
Ufuk Beyaztas, Han Lin Shang, and Aylin Alin · 2021
Later among the works it cites.
Conformalized Survival Analysis
Emmanuel J Candès, Lihua Lei, and Zhimei Ren · 2021
Later among the works it cites.
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results
Mohamad H Danesh and Alan Fern · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A Distributional Perspective on Reinforcement Learning
Marc G Bellemare, Will Dabney, and Rémi Munos · 2017
Cited alongside, same era.
Distribution-Free Predictive Inference for Regression
Jing Lei, Max G Sell, Alessandro Rinaldo, Ryan J Tibshirani, and Larry Wasserman · 2017
Cited alongside, same era.
Starcraft II: A new challenge for reinforcement learning
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, et al · 2017
Cited alongside, same era.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi and Mohammed Berrada · 2018
Cited alongside, same era.
Implicit quantile networks for distributional reinforcement learning
Will Dabney, Georg Ostrovski, David Silver, and Remi Munos · 2018
Cited alongside, same era.
A Conformal Prediction Approach to Explore Functional Data
Jing Lei, Alessandro Rinaldo, and Larry Wasserman
Cited in the paper.
Later among the works it cites.
The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data
Jacopo Diquigiovanni, Matteo Fontana, and Simone Vantini · 2021
Later among the works it cites.
Conformal Prediction Bands for Multivariate Functional Data
Jacopo Diquigiovanni, Matteo Fontana, and Simone Vantini · 2021
Later among the works it cites.
From heatmaps to structured explanations of image classifiers
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, and Alan Fern · 2021
Later among the works it cites.
Distributional Reinforcement Learning
Marc G. Bellemare, Will Dabney, and Mark Rowland · 2022
Closest in time.