Visualizing and Understanding Atari Agents

31 October 2017

Jonathan Dodge

Papers citing "Visualizing and Understanding Atari Agents"

26 / 176 papers shown

Title
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
Free-Lunch Saliency via Attention in Atari Agents Dmitry Nikulin A. Ianina Vladimir Aliev Sergey I. Nikolenko FAtt 28 24 0 07 Aug 2019
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations Daniel S. Brown Wonjoon Goo S. Niekum 17 9 0 09 Jul 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents Alex Mott Daniel Zoran Mike Chrzanowski Daan Wierstra Danilo Jimenez Rezende 26 188 0 06 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
Exploring Computational User Models for Agent Policy Summarization Isaac Lage Daphna Lifschitz Finale Doshi-Velez Ofra Amir LLMAG 18 75 0 30 May 2019
Snooping Attacks on Deep Reinforcement Learning Matthew J. Inkawhich Yiran Chen Hai Helen Li AAML 22 25 0 28 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Flow-based Intrinsic Curiosity Module Hsuan-Kung Yang Po-Han Chiang Min-Fong Hong Chun-Yi Lee 24 4 0 24 May 2019
Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning Emma Tosch Kaleigh Clary John Foley David D. Jensen OffRL 17 9 0 07 May 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 30 350 0 12 Apr 2019
Reinforcement Learning with Attention that Works: A Self-Supervised Approach Anthony Manchin Ehsan Abbasnejad Anton Van Den Hengel 30 60 0 06 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 29 32 0 02 Apr 2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study Andrew Anderson Jonathan Dodge Amrita Sadarangani Zoe Juozapaitis E. Newman Jed Irvine Souti Chattopadhyay Alan Fern Margaret Burnett FAtt 22 65 0 22 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
Visual Rationalizations in Deep Reinforcement Learning for Atari Games L. Weitkamp Elise van der Pol Zeynep Akata 14 27 0 01 Feb 2019
Learn to Interpret Atari Agents Zhao Yang S. Bai Li Zhang Philip Torr 22 28 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 27 54 0 17 Dec 2018
Learning Finite State Representations of Recurrent Policy Networks Anurag Koul S. Greydanus Alan Fern 19 88 0 29 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 32 20 0 11 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Towards Better Interpretability in Deep Q-Networks Raghuram Mandyam Annasamy Katia Sycara FAtt 14 59 0 15 Sep 2018
Visual Diagnostics for Deep Reinforcement Learning Policy Development Jieliang Luo Sam Green Peter Feghali G. Legrady Ç. Koç 17 5 0 14 Sep 2018
Sidekick Policy Learning for Active Visual Exploration Santhosh Kumar Ramakrishnan Kristen Grauman 47 29 0 29 Jul 2018
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience Alban Laflaquière J. O'Regan B. Gas A. Terekhov 11 16 0 07 Jun 2018