John-Mark Allen

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All published works

Action	Title	Year	Authors
+	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

Common Coauthors

Coauthor	Papers Together
Jeffrey Hawke	1
Alex Kendall	1
David M. Janz	1
Alex Bewley	1
Daniele Reda	1
Vinh-Dieu Lam	1
P. Mazur	1
Amar Shah	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	1
+	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	1
+	Concrete Problems in AI Safety	2016	Dario Amodei Chris Olah Jacob Steinhardt Paul F. Christiano John Schulman Dan Mané	1
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	1
+ 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
+	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
+	World Models	2018	David Ha Jürgen Schmidhuber	1
+	Deep Variational Reinforcement Learning for POMDPs	2018	Maximilian Igl Luisa Zintgraf Tuan Anh Le Frank Wood Shimon Whiteson	1
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	1
+	Deep Recurrent Q-Learning for Partially Observable MDPs	2015	Matthew Hausknecht Peter Stone	1
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	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
+	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