Visualizing and Understanding Atari Agents

31 October 2017

Jonathan Dodge

Papers citing "Visualizing and Understanding Atari Agents"

50 / 176 papers shown

Title
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System Xiaoran Wu Zihan Yan Chongjie Zhang Tongshuang Wu 24 1 0 01 Dec 2022
Configurable Agent With Reward As Input: A Play-Style Continuum Generation Pierre Le Pelletier de Woillemont Rémi Labory Vincent Corruble 27 10 0 29 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 35 1 0 12 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning Pedro Sequeira Jesse Hostetler Melinda Gervasio 18 0 0 11 Nov 2022
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information V. Sharma John P. Dickerson Pratap Tokekar AI4CE 19 0 0 09 Nov 2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping Ronilo Ragodos Tong Wang Qihang Lin Xun Zhou 24 7 0 06 Nov 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 42 4 0 24 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 40 8 0 21 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 47 27 0 10 Oct 2022
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning Valentin Guillet D. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson 27 1 0 05 Oct 2022
Explainable Reinforcement Learning via Model Transforms Mira Finkelstein Lucy Liu Nitsan Levy Schlot Y. Kolumbus David C. Parkes Jeffrey S. Rosenshein Sarah Keren 42 13 0 24 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 40 30 0 16 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 27 1 0 07 Sep 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch Yuya Maruyama Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 42 1 0 18 Aug 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 30 9 0 07 Jul 2022
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL Kin-Ho Lam Delyar Tabatabai Jed Irvine Donald Bertucci Anita Ruangrotsakun Minsuk Kahng Alan Fern OffRL 28 1 0 04 Jun 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 32 3 0 18 May 2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci J. Krichmar AAML 25 4 0 18 May 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang Erfan Miahi Martha White Marlos C. Machado Zaheer Abbas Raksha Kumaraswamy Vincent Liu Adam White 25 26 0 30 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 36 27 0 22 Mar 2022
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 48 6 0 21 Mar 2022
Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act Alexis Jacq Johan Ferret Olivier Pietquin M. Geist 32 9 0 16 Mar 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 32 52 0 17 Feb 2022
Local Explanations for Reinforcement Learning Ronny Luss Amit Dhurandhar Miao Liu FAtt OffRL 16 3 0 08 Feb 2022
Explaining Reinforcement Learning Policies through Counterfactual Trajectories Julius Frost Olivia Watkins Eric Weiner Pieter Abbeel Trevor Darrell Bryan A. Plummer Kate Saenko OffRL 36 5 0 29 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 19 1 0 18 Jan 2022
Self Reward Design with Fine-grained Interpretability Erico Tjoa G. Cuntai 19 1 0 30 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 95 0 24 Dec 2021
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents Jasmina Gajcin Rahul Nair Tejaswini Pedapati Radu Marinescu Elizabeth M. Daly Ivana Dusparic OffRL 8 11 0 17 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 40 11 0 20 Nov 2021
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets Hamed Valizadegan Miguel Martinho Laurent S. Wilkens J. Jenkins Jeffrey C. Smith ... Nikash Walia K. Hausknecht N. Y. Lubin Stephen T. Bryson N. Oza 26 37 0 19 Nov 2021
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 36 159 0 17 Nov 2021
LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations Weronika Hryniewska Adrianna Grudzieñ P. Biecek FAtt 53 3 0 15 Nov 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 35 13 0 07 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations Kin-Ho Lam Zhengxian Lin Jed Irvine Jonathan Dodge Zeyad Shureih Roli Khanna Minsuk Kahng Alan Fern 33 7 0 28 Sep 2021
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems Subbarao Kambhampati S. Sreedharan Mudit Verma Yantian Zha L. Guan 52 47 0 21 Sep 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Discovering User-Interpretable Capabilities of Black-Box Planning Agents Pulkit Verma Shashank Rao Marpally Siddharth Srivastava ELM LLMAG 16 20 0 28 Jul 2021
Critic Guided Segmentation of Rewarding Objects in First-Person Views Andrew Melnik Augustin Harter C. Limberg Krishan Rana Niko Sünderhauf Helge J. Ritter EgoV 27 14 0 20 Jul 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis A. De Manuel Gomez Rodriguez 19 45 0 06 Jul 2021
A Game-Theoretic Taxonomy of Visual Concepts in DNNs Xu Cheng Chuntung Chu Yi Zheng Jie Ren Quanshi Zhang 14 21 0 21 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 64 0 17 Jun 2021
MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning Christian Arzate Cruz Takeo Igarashi SyDa 19 2 0 27 May 2021
The Atari Data Scraper B. Pierson J. Ventura Matthew E. Taylor OnRL 15 0 0 11 Apr 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 22 23 0 06 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 51 14 0 15 Mar 2021