Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics

20 June 2024

Papers citing "Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics"

24 / 24 papers shown

Title
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains Minkyu Choi Kuan Han Xiaokai Wang Yizhen Zhang Zhongming Liu 64 14 0 20 Oct 2023
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo Ruohan Zhang Bo Liu Yifeng Zhu M. Hayhoe D. Ballard Peter Stone OffRL 66 27 0 29 Oct 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 88 432 0 20 Jan 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 61 91 0 09 Dec 2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy Aaron M. Roth Nicholay Topin Pooyan Jamshidi Manuela Veloso OffRL 54 48 0 02 Jul 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 98 361 0 27 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 100 1,015 0 26 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
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 102 671 0 06 Dec 2018
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences J. V. D. Waa J. Diggelen K. Bosch Mark Antonius Neerincx OffRL 51 108 0 23 Jul 2018
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees Guiliang Liu Oliver Schulte Wang Zhu Qingcan Li AI4CE 42 135 0 16 Jul 2018
Programmatically Interpretable Reinforcement Learning Abhinav Verma V. Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri 114 353 0 06 Apr 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 130 140 0 20 Dec 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 100 347 0 31 Oct 2017
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 55 80 0 19 Oct 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 297 20,023 0 07 Oct 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 84 263 0 08 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 197 8,859 0 04 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,319 0 14 Dec 2015
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition G. Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus-Robert Muller FAtt 60 737 0 08 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013