Machine versus Human Attention in Deep Reinforcement Learning Tasks

29 October 2020

Ruohan Zhang

Papers citing "Machine versus Human Attention in Deep Reinforcement Learning Tasks"

50 / 53 papers shown

Title
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 167 0 0 20 Jun 2024
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 157 281 0 15 Aug 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 60 247 0 13 May 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 63 519 0 30 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 55 18 0 16 Mar 2020
Analyzing Visual Representations in Embodied Navigation Tasks Erik Wijmans Julian Straub Dhruv Batra Irfan Essa Judy Hoffman Ari S. Morcos 65 2 0 12 Mar 2020
Efficiently Guiding Imitation Learning Agents with Human Gaze Akanksha Saran Ruohan Zhang Elaine Schaertl Short S. Niekum 44 16 0 28 Feb 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 41 77 0 23 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 54 91 0 09 Dec 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 38 87 0 21 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 101 36 0 06 Sep 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 48 24 0 07 Aug 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents Alex Mott Daniel Zoran Mike Chrzanowski Daan Wierstra Danilo Jimenez Rezende 51 190 0 06 Jun 2019
Understanding and Visualizing Deep Visual Saliency Models Sen He Hamed R. Tavakoli Ali Borji Yang Mi N. Pugeault FAtt 44 46 0 06 Mar 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 67 106 0 19 Feb 2019
Visual Rationalizations in Deep Reinforcement Learning for Atari Games L. Weitkamp Elise van der Pol Zeynep Akata 48 27 0 01 Feb 2019
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 49 29 0 29 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F. Such Vashisht Madhavan Rosanne Liu Rui Wang Pablo Samuel Castro ... Jiale Zhi Ludwig Schubert Marc G. Bellemare Jeff Clune Joel Lehman OffRL 59 54 0 17 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 68 278 0 14 Dec 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 46 20 0 11 Nov 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 127 1,966 0 08 Oct 2018
Transparency and Explanation in Deep Reinforcement Learning Neural Networks R. Iyer Yuezhang Li Huao Li M. Lewis R. Sundar Katia Sycara 42 174 0 17 Sep 2018
AGIL: Learning Attention from Human for Visuomotor Tasks Ruohan Zhang Zhuode Liu Luxin Zhang Jake A. Whritner Karl S. Muller M. Hayhoe D. Ballard 42 76 0 01 Jun 2018
Investigating Human Priors for Playing Video Games Rachit Dubey Pulkit Agrawal Deepak Pathak Thomas Griffiths Alexei A. Efros OffRL 89 146 0 28 Feb 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 93 692 0 18 Dec 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 100 347 0 31 Oct 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 106 2,294 0 30 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,264 0 06 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 96 1,504 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,019 0 20 Jul 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 62 588 0 22 May 2017
Predicting the Driver's Focus of Attention: the DR(eye)VE Project Andrea Palazzi Davide Abati Simone Calderara Francesco Solera Rita Cucchiara 68 251 0 10 May 2017
Paying Attention to Descriptions Generated by Image Captioning Models Hamed R. Tavakoli Rakshith Shetty Ali Borji Jorma T. Laaksonen 48 79 0 24 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,519 0 11 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 198 3,871 0 10 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 92 1,538 0 10 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 179 5,986 0 04 Mar 2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis L. Zintgraf Taco S. Cohen T. Adel Max Welling FAtt 132 708 0 15 Feb 2017
Learning to predict where to look in interactive environments using deep recurrent q-learning Seyed Sajad Mousavi Michael Schukat Enda Howley Ali Borji N. Mozayani 43 31 0 17 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 294 20,003 0 07 Oct 2016
Top-down Neural Attention by Excitation Backprop Jianming Zhang Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff 79 947 0 01 Aug 2016
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das Harsh Agrawal C. L. Zitnick Devi Parikh Dhruv Batra 95 465 0 11 Jun 2016
What do different evaluation metrics tell us about saliency models? Zoya Bylinskii Tilke Judd A. Oliva Antonio Torralba F. Durand XAI 46 816 0 12 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,851 0 04 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,308 0 14 Dec 2015
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 68 534 0 07 Dec 2015
Salient Object Detection: A Benchmark Ali Borji Ming-Ming Cheng Huaizu Jiang Jia Li 98 1,729 0 05 Jan 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,667 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 309 7,292 0 20 Dec 2013