Visualizing and Understanding Atari Agents

31 October 2017

Jonathan Dodge

Papers citing "Visualizing and Understanding Atari Agents"

50 / 176 papers shown

Title
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning Hidenori Itaya Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 45 18 0 06 Mar 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 31 14 0 18 Feb 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation Jinwei Xing Takashi Nagata Kexin Chen Xinyun Zou Emre Neftci J. Krichmar OOD 31 44 0 10 Feb 2021
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison Yotam Amitai Ofra Amir LLMAG 11 12 0 05 Feb 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning Matthew Lyle Olson Roli Khanna Lawrence Neal Fuxin Li Weng-Keen Wong CML 40 69 0 29 Jan 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents Tobias Huber Benedikt Limmer Elisabeth André FAtt 20 14 0 18 Jan 2021
RoCUS: Robot Controller Understanding via Sampling Yilun Zhou Serena Booth Nadia Figueroa J. Shah 27 14 0 25 Dec 2020
Towards Robust Explanations for Deep Neural Networks Ann-Kathrin Dombrowski Christopher J. Anders K. Müller Pan Kessel FAtt 35 63 0 18 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 1 0 13 Dec 2020
Understanding Learned Reward Functions Eric J. Michaud Adam Gleave Stuart J. Russell XAI OffRL 30 33 0 10 Dec 2020
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? Matthias Rosynski Frank Kirchner Matias Valdenegro-Toro FAtt 11 13 0 02 Dec 2020
UniCon: Universal Neural Controller For Physics-based Character Motion Tingwu Wang Yunrong Guo Maria Shugrina Sanja Fidler 27 53 0 30 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 33 1 0 12 Nov 2020
Observation Space Matters: Benchmark and Optimization Algorithm J. Kim Sehoon Ha OOD OffRL 24 11 0 02 Nov 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo Ruohan Zhang Bo Liu Yifeng Zhu M. Hayhoe D. Ballard Peter Stone OffRL 24 26 0 29 Oct 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 21 67 0 22 Oct 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games Yunqiu Xu Meng Fang Ling-Hao Chen Yali Du Qiufeng Wang Chengqi Zhang OffRL 27 44 0 22 Oct 2020
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin Kim-Ho Lam Alan Fern SSL 22 24 0 11 Oct 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 25 12 0 18 Sep 2020
Reconstructing Actions To Explain Deep Reinforcement Learning Xuan Chen Zifan Wang Yucai Fan Bonan Jin Piotr (Peter) Mardziel Carlee Joe-Wong Anupam Datta FAtt 13 2 0 17 Sep 2020
Ranking Policy Decisions Hadrien Pouget Hana Chockler Youcheng Sun Daniel Kroening OffRL 25 6 0 31 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 24 279 0 15 Aug 2020
Interactive Visualization for Debugging RL Shuby Deshpande Benjamin Eysenbach J. Schneider 28 7 0 14 Aug 2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System Xinzhi Wang Huao Li Hui Zhang M. Lewis Katia Sycara 6 3 0 04 Aug 2020
Mixture of Step Returns in Bootstrapped DQN Po-Han Chiang Hsuan-Kung Yang Zhang-Wei Hong Chun-Yi Lee 8 4 0 16 Jul 2020
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Yasuhiro Fujita Kota Uenishi Avinash Ummadisingu P. Nagarajan Shimpei Masuda M. Castro 32 18 0 16 Jul 2020
Vizarel: A System to Help Better Understand RL Agents Shuby Deshpande J. Schneider OffRL 18 3 0 10 Jul 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 43 42 0 26 Jun 2020
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario Francisco Cruz Richard Dazeley Peter Vamplew Ithan Moreira 10 39 0 24 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 31 21 0 06 Jun 2020
Automatic Discovery of Interpretable Planning Strategies Julian Skirzyñski Frederic Becker Falk Lieder 21 15 0 24 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning Marco Pleines J. Jitsev Mike Preuss Frank Zimmer 30 2 0 01 Apr 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 28 18 0 16 Mar 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 35 112 0 26 Feb 2020
The Automated Inspection of Opaque Liquid Vaccines Gregory Palmer Benjamin Schnieders Rahul Savani K. Tuyls J. Fossel H. Flore MedIm 35 7 0 21 Feb 2020
RL agents Implicitly Learning Human Preferences Nevan Wichers AI4CE 20 0 0 14 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 76 30 0 04 Feb 2020
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning Michiel van der Meer Matteo Pirotta Elia Bruni 27 1 0 13 Jan 2020
Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz Leon Sixt Federico Tombari Tim Landgraf FAtt 14 182 0 02 Jan 2020
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 32 4 0 29 Dec 2019
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 19 75 0 23 Dec 2019
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 19 104 0 19 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 17 27 0 18 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 30 90 0 09 Dec 2019
Observational Overfitting in Reinforcement Learning Xingyou Song Yiding Jiang Stephen Tu Yilun Du Behnam Neyshabur OffRL 33 138 0 06 Dec 2019
Simulation-based reinforcement learning for real-world autonomous driving B. Osinski Adam Jakubowski Piotr Milos Pawel Ziecina Christopher Galias S. Homoceanu Henryk Michalewski 35 122 0 29 Nov 2019
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance Qingyang Tan Tingxiang Fan Jia Pan Tianyi Zhou 38 24 0 04 Oct 2019
Counterfactual States for Atari Agents via Generative Deep Learning Matthew Lyle Olson Lawrence Neal Fuxin Li Weng-Keen Wong CML 21 29 0 27 Sep 2019