Transparency and Explanation in Deep Reinforcement Learning Neural Networks

17 September 2018

Papers citing "Transparency and Explanation in Deep Reinforcement Learning Neural Networks"

28 / 28 papers shown

Title
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
A Closer Look at Reward Decomposition for High-Level Robotic Explanations Wenhao Lu Xufeng Zhao S. Magg M. Gromniak Mengdi Li S. Wermter 38 7 0 25 Apr 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 50 77 0 24 Jan 2023
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations Bin Wang Wenbin Pei Bing Xue Mengjie Zhang FAtt 36 3 0 28 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
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 32 148 0 31 Aug 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 35 51 0 07 Jun 2022
Power and accountability in reinforcement learning applications to environmental policy Melissa S. Chapman Caleb Scoville Marcus Lapeyrolerie C. Boettiger OffRL 18 2 0 22 May 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 27 52 0 17 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams Seth Karten Mycal Tucker Huao Li Siva Kailas Michael Lewis Katia P. Sycara AI4CE 23 10 0 19 Jan 2022
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain Stefan Wapnick Travis Manderson D. Meger Gregory Dudek 31 5 0 09 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
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 25 7 0 28 Sep 2021
Deep Interpretable Models of Theory of Mind Ini Oguntola Dana Hughes Katia P. Sycara HAI 33 23 0 07 Apr 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
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce R. Iyer Praveenkumar Kanumala Stephen D. Guo Kannan Achan 23 1 0 02 Nov 2020
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions Zhengxian Lin Kim-Ho Lam Alan Fern SSL 22 24 0 11 Oct 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 15 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
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 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
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
A Machine Learning Framework for Authorship Identification From Texts R. Iyer Carolyn Rose DeLMO 27 12 0 21 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 19 90 0 09 Dec 2019
Generation of Policy-Level Explanations for Reinforcement Learning Nicholay Topin Manuela Veloso 24 73 0 28 May 2019
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012