Marc Corbeels

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All published works

Action	Title	Year	Authors
+ PDF Chat	Reinforcement learning for crop management support: Review, prospects and challenges	2022	Romain Gautron Odalric-Ambrym Maillard Pierre‐Marie Preux Marc Corbeels Régis Sabbadin
+	Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management	2022	Romain Gautron Dorian Baudry Myriam Adam Gatien N. Falconnier Marc Corbeels
+	Analysing the quality and reconstructing daily weather data for crop growth simulation models. [P19]	2015	David Berre Marc Corbeels Frelat Romain Léonard Rusinamhodzi Santiago López‐Ridaura
+	Characterising effects of surface residues on evaporation for a simple water balance model	2003	Fernando Macena Marc Corbeels Éric Scopel François Affholder Hilton Silveira Pinto

Common Coauthors

Coauthor	Papers Together
Romain Gautron	2
François Affholder	1
Gatien N. Falconnier	1
Dorian Baudry	1
Fernando Macena	1
Frelat Romain	1
Myriam Adam	1
Éric Scopel	1
David Berre	1
Pierre‐Marie Preux	1
Odalric-Ambrym Maillard	1
Léonard Rusinamhodzi	1
Régis Sabbadin	1
Santiago López‐Ridaura	1
Hilton Silveira Pinto	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	1
+	Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions	2015	Peter Sunehag Richard Evans Gabriel Dulac-Arnold Yori Zwólš Daniel Visentin Ben Coppin	1
+	Compliance-Aware Bandits	2016	Nicolás Della Penna Mark D. Reid David Balduzzi	1
+ PDF Chat	Deep Q-learning From Demonstrations	2018	Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul Bilal Piot Dan Horgan John Quan Andrew Sendonaris Ian Osband	1
+	Causal Reasoning from Meta-reinforcement Learning	2019	Ishita Dasgupta Jane X. Wang Silvia Chiappa Jovana Mitrovic Pedro A. Ortega David Raposo Edward Hughes Peter Battaglia Matthew Botvinick Zeb Kurth‐Nelson	1
+	Stochastic Bandits with Context Distributions	2019	Johannes Kirschner Andreas Krause	1
+ PDF Chat	A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem	2018	Fang Liu Joohyun Lee Ness B. Shroff	1
+	Reinforcement Learning Applications	2019	Yuxi Li	1
+ PDF Chat	Explainable Reinforcement Learning through a Causal Lens	2020	Prashan Madumal Tim Miller Liz Sonenberg Frank Vetere	1
+	Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)	2020	Joëlle Pineau Philippe Vincent‐Lamarre Koustuv Sinha Vincent Larivière Alina Beygelzimer Florence d’Alché–Buc Emily B. Fox Hugo Larochelle	1
+	Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification	2020	Daniel J. Mankowitz Dan A. Calian Rae Jeong Cosmin Păduraru Nicolas Heess Sumanth Dathathri Martin Riedmiller Timothy Mann	1
+	CropGym: a Reinforcement Learning Environment for Crop Management	2021	Hiske Overweg H.N.C. Berghuijs Ioannis N. Athanasiadis	1
+	On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples	1933	William Thompson	1
+	gym-DSSAT: a crop model turned into a Reinforcement Learning environment	2022	Romain Gautron Emilio J. Padrón Pierre‐Marie Preux Julien Bigot Odalric-Ambrym Maillard David Emukpere	1
+	Challenges of Real-World Reinforcement Learning	2019	Gabriel Dulac-Arnold Daniel J. Mankowitz Todd Hester	1