P. Mazur

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All published works

Action	Title	Year	Authors
+ PDF Chat	Hat chromatic number of graphs	2021	Bartłomiej Bosek Andrzej Dudek Michał Farnik Jarosław Grytczuk P. Mazur
+ 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
+	Successor Uncertainties: exploration and uncertainty in temporal difference learning	2019	David M. Janz Jiri Hron P. Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek
+	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
+	Hat chromatic number of graphs	2019	Bartłomiej Bosek Andrzej Dudek Michał Farnik Jarosław Grytczuk P. Mazur
+	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
+	Hat chromatic number of graphs	2019	Bartłomiej Bosek Andrzej Dudek Michał Farnik Jarosław Grytczuk P. Mazur
+	Learning to Drive in a Day	2018	Alex Kendall Jeffrey Hawke David M. Janz P. Mazur Daniele Reda John-Mark Allen Vinh-Dieu Lam Alex Bewley Amar Shah
+	Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning	2018	David M. Janz Jiri Hron P. Mazur Katja Hofmann José Miguel Hernández-Lobato Sebastian Tschiatschek
+	Learning to Drive in a Day	2018	Alex Kendall Jeffrey Hawke David M. Janz P. Mazur Daniele Reda John-Mark A. Allen Vinh-Dieu Lam Alex Bewley Anoop Shah
+	Some results in set addition	2016	P. Mazur
+	A structure theorem for sets of small popular doubling	2015	P. Mazur
+	A structure theorem for sets of small popular doubling, revisited	2015	P. Mazur
+ PDF Chat	A structure theorem for sets of small popular doubling	2015	P. Mazur
+	A structure theorem for sets of small popular doubling	2015	P. Mazur
+ PDF Chat	Nonequilibrium thermodynamics and hydrodynamic fluctuations	2000	J. M. Rubı́ P. Mazur
+	Non-equilibrium Thermodynamics and Hydrodynamic Fluctuations	1999	J. M. Rubı́ P. Mazur
+ PDF Chat	Simultaneous Brownian motion of N particles in a temperature gradient	1998	J. M. Rubı́ P. Mazur
+	Brownian motion in the presence of a temperature gradient	1995	A. Pérez-Madrid J. M. Rubı́ P. Mazur
+ PDF Chat	Brownian motion in the presence of a temperature gradient	1994	A. Pérez-Madrid J. M. Rubı́ P. Mazur
+	Effect of plasma on the recovery and FDA survival of human granulocytes incubated at 37 °C after exposure to phosphate-buffered saline or glycerol	1986	W. John Armitage P. Mazur
+	On the Asymptotic Equivalence of Various Ensembles for a Real System	1967	P. Mazur
+	On Correlation Function Formulae for Kinetic and Transport-Coefficients	1966	P. Mazur
+	On a Statistical mechanical theory of Brownian motion	1965	P. Mazur
+	Relations between path integrals and the variational principles of Hamilton	1959	J. Vlieger P. Mazur S.R. de Groot
+	Density expansions of distribution functions. II	1957	P. Mazur I. Oppenheim
+	Density expansions of distribution functions. I.	1957	I. Oppenheim P. Mazur
+	Thermodynamical theory of galvanomagnetic and thermomagnetic phenomena III	1954	R. Fieschi S.R. de Groot P. Mazur
+	Non-Equilibrium Thermodynamics of Two-Fluid Models	1951	S.R. de Groot L.H. Jansen P. Mazur

Common Coauthors

Coauthor	Papers Together
Jeffrey Hawke	5
Daniele Reda	5
J. M. Rubı́	5
David M. Janz	4
Alex Kendall	4
S.R. de Groot	3
Sean Micklethwaite	3
Jarosław Grytczuk	3
Bartłomiej Bosek	3
Siddharth Sharma	3
Corina Gurău	3
Andrzej Dudek	3
Amar Shah	3
Michał Farnik	3
Nicolas Griffiths	3
Richard Shen	2
Katja Hofmann	2
Alex Bewley	2
A. Pérez-Madrid	2
Sebastian Tschiatschek	2
Nikolay Nikolov	2
Vinh-Dieu Lam	2
Anoop Shah	2
Jiri Hron	2
José Miguel Hernández-Lobato	2
I. Oppenheim	2
Richard Shen	1
J. Vlieger	1
L.H. Jansen	1
John-Mark Allen	1
Alex Kndall	1
R. Fieschi	1
John-Mark A. Allen	1
Nikolay Nikolov	1
W. John Armitage	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	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	3
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	3
+ 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
+	Hat Guessing Games	2008	Steve Butler Mohammad Taghi Hajiaghayi Robert Kleinberg Tom Leighton	2
+ PDF Chat	Coloring with no $2$-Colored $P_4$'s	2004	Michael O. Albertson Glenn G. Chappell H. A. Kierstead André Kündgen Radhika Ramamurthi	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
+ PDF Chat	End-to-End Driving Via Conditional Imitation Learning	2018	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	2
+	Deep Imitative Models for Flexible Inference, Planning, and Control	2018	Nicholas Rhinehart Rowan McAllister Sergey Levine	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	The hat guessing number of graphs	2020	Noga Alon Omri Ben‐Eliezer Chong Shangguan Itzhak Tamo	2
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	2
+	Molecular distribution and equation of state of gases	1949	Jan de Boer	2
+ PDF Chat	For Which Graphs the Sages Can Guess Correctly the Color of at Least One Hat	2018	K. P. Kokhas Aleksei Latyshev	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	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	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	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
+	On the Hat Guessing Number of Graphs	2021	Noga Alon Jeremy Chizewer	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	2
+ PDF Chat	Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	2017	Konstantinos Bousmalis Nathan Silberman David Dohan Dumitru Erhan Dilip Krishnan	1
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	1
+	End-to-end Driving via Conditional Imitation Learning	2017	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	1
+	Eigenoption Discovery through the Deep Successor Representation	2017	Marlos C. Machado Clemens Rosenbaum Xiaoxiao Guo Miao Liu Gerald Tesauro Murray Campbell	1
+	Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm	2017	David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai Arthur Guez Marc Lanctot Laurent Sifre Dharshan Kumaran Thore Graepel	1
+	Efficient exploration with Double Uncertain Value Networks	2017	Thomas M. Moerland Joost Broekens Catholijn M. Jonker	1
+	World Models	2018	David Ha Jürgen Schmidhuber	1
+	Driving Policy Transfer via Modularity and Abstraction	2018	Matthias Müller Alexey Dosovitskiy Bernard Ghanem Vladlen Koltun	1
+	Deep Variational Reinforcement Learning for POMDPs	2018	Maximilian Igl Luisa Zintgraf Tuan Anh Le Frank Wood Shimon Whiteson	1
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	1
+	Randomized Value Functions via Multiplicative Normalizing Flows	2018	Abdelaziz Touati Harsh Satija Joshua Romoff Joëlle Pineau Pascal Vincent	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
+	Go-Explore: a New Approach for Hard-Exploration Problems	2019	Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune	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
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	1
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	1
+	Generalization and Exploration via Randomized Value Functions	2014	Ian Osband Benjamin Van Roy Zheng Wen	1
+	Deep Recurrent Q-Learning for Partially Observable MDPs	2015	Matthew Hausknecht Peter Stone	1
+	BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems	2016	Zachary C. Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng	1
+	Safe and Efficient Off-Policy Reinforcement Learning	2016	Rémi Munos Tom Stepleton Anna Harutyunyan Marc G. Bellemare	1
+ PDF Chat	Efficient Exploration Through Bayesian Deep Q-Networks	2018	Kamyar Azizzadenesheli Emma Brunskill Animashree Anandkumar	1
+	Continuous control with deep reinforcement learning	2016	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1