Sean Micklethwaite

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All published works

Action	Title	Year	Authors
+ PDF Chat	Urban Driving with Conditional Imitation Learning	2020	Jeffrey Hawke Richard Shen Corina Gurău Siddharth Sharma Daniele Reda Nikolay Nikolov P. Mazur Sean Micklethwaite Nicolas Griffiths Amar Shah
+	Urban Driving with Conditional Imitation Learning	2019	Jeffrey Hawke Richard Shen Corina Gurău Siddharth Sharma Daniele Reda Nikolay Nikolov P. Mazur Sean Micklethwaite Nicolas Griffiths Amar Shah
+	Urban Driving with Conditional Imitation Learning	2019	Jeffrey Hawke Richard Shen Corina Gurău Siddharth Sharma Daniele Reda Nikolay Nikolov P. Mazur Sean Micklethwaite Nicolas Griffiths Anoop Shah

Common Coauthors

Coauthor	Papers Together
Daniele Reda	3
Jeffrey Hawke	3
P. Mazur	3
Corina Gurău	3
Nicolas Griffiths	3
Siddharth Sharma	3
Richard Shen	2
Alex Kendall	2
Nikolay Nikolov	2
Amar Shah	2
Anoop Shah	1
Nikolay Nikolov	1
Richard Shen	1
Alex Kndall	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	End-to-End Driving Via Conditional Imitation Learning	2018	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	2
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	2
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	2
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	2
+ PDF Chat	Domain Randomization and Generative Models for Robotic Grasping	2018	Josh Tobin Lukas Biewald Rocky Duan Marcin Andrychowicz Ankur Handa Vikash Kumar Bob McGrew Alex Ray Jonas Schneider Peter Welinder	2
+ PDF Chat	CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving	2018	Xiaodan Liang Tairui Wang Luona Yang Eric P. Xing	2
+ PDF Chat	End-To-End Interpretable Neural Motion Planner	2019	Wenyuan Zeng Wenjie Luo Simon Su Abbas Sadat Bin Yang Sergio Casas Raquel Urtasun	2
+ PDF Chat	Learning to Drive from Simulation without Real World Labels	2019	Alex Bewley Jessica Rigley Yuxuan Liu Jeffrey Hawke Richard Shen Vinh-Dieu Lam Alex Kendall	2
+	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car	2017	Mariusz Bojarski Philip Yeres Anna Choromanska Krzysztof Choromański Bernhard Firner Lawrence D. Jackel Urs Müller	2
+	Deep Imitative Models for Flexible Inference, Planning, and Control	2018	Nicholas Rhinehart Rowan McAllister Sergey Levine	2
+ PDF Chat	End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners	2018	Simon Hecker Dengxin Dai Luc Van Gool	2
+ PDF Chat	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization	2018	Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel	2
+ PDF Chat	On Offline Evaluation of Vision-Based Driving Models	2018	Felipe Codevilla Antonio M. López Vladlen Koltun Alexey Dosovitskiy	2
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	2
+	BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.	2018	Fisher Yu Wenqi Xian Yingying Chen Fangchen Liu Mike Liao Vashisht Madhavan Trevor Darrell	2
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	2
+	Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car	2017	Mariusz Bojarski Philip Yeres Anna Choromanska Krzysztof Choromański Bernhard Firner Lawrence D. Jackel Urs Müller	1
+	End-to-end Driving via Conditional Imitation Learning	2017	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	1
+	Driving Policy Transfer via Modularity and Abstraction	2018	Matthias Müller Alexey Dosovitskiy Bernard Ghanem Vladlen Koltun	1
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	1
+	Learning Dexterous In-Hand Manipulation	2018	OpenAI	1
+	ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst	2019	Mayank Bansal Alex Krizhevsky Abhijit S. Ogale	1
+	Exploring the Limitations of Behavior Cloning for Autonomous Driving	2019	Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon	1
+	Causal Confusion in Imitation Learning	2019	Pim de Haan Dinesh Jayaraman Sergey Levine	1
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	1
+ PDF Chat	Variational End-to-End Navigation and Localization	2019	Alexander Amini Guy Rosman Sertaç Karaman Daniela Rus	1
+ PDF Chat	Learning dexterous in-hand manipulation	2019	OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafał Józefowicz Bob McGrew Jakub Pachocki Arthur J Petron Matthias Plappert Glenn Powell Alex Ray	1
+ PDF Chat	Exploring the Limitations of Behavior Cloning for Autonomous Driving	2019	Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon	1
+	CARLA: An Open Urban Driving Simulator	2017	Alexey Dosovitskiy Germán Ros Felipe Codevilla Antonio M. López Vladlen Koltun	1
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	1