ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models

22 October 2021

Jia Wang

Gabriele Tolomei

Papers citing "ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models"

21 / 21 papers shown

Title
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Volkan Bakir Polat Goktas Sureyya Akyuz 52 0 0 26 Apr 2025
Regression and Forecasting of U.S. Stock Returns Based on LSTM Shicheng Zhou Zizhou Zhang Rong Zhang Yuchen Yin Chia Hong Chang Qinyan Shen AI4TS 47 0 0 03 Feb 2025
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions Fudong Lin Kaleb Guillot Summer Crawford Yihe Zhang Xu Yuan Nian-Feng Tzeng AI4Cl AI4CE 38 5 0 10 Jun 2024
Task-Agnostic Detector for Insertion-Based Backdoor Attacks Weimin Lyu Xiao Lin Songzhu Zheng Lu Pang Haibin Ling Susmit Jha Chao Chen 45 25 0 25 Mar 2024
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring A. Buliga Chiara Di Francescomarino Chiara Ghidini Ivan Donadello F. Maggi 34 1 0 18 Mar 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 54 37 0 04 Jan 2024
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 35 0 0 13 Nov 2023
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning E. Panagiotou Eirini Ntoutsi CML OffRL BDL 25 0 0 01 Nov 2023
Evading Community Detection via Counterfactual Neighborhood Search Andrea Bernini Fabrizio Silvestri Gabriele Tolomei BDL 28 1 0 13 Oct 2023
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies Haochen Wu Shubham Sharma Sunandita Patra Sriram Gopalakrishnan 41 0 0 23 Aug 2023
A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment Xiaobo Ma A. Cottam Mohammad Razaur Rahman Shaon Yao-Jan Wu 24 7 0 07 Aug 2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review Dan Zhang Fangfang Zhou Felix Albu Yuan-Gu Wei X. Yang Yuan Gu Qiang Li 27 19 0 01 Aug 2023
What's meant by explainable model: A Scoping Review Mallika Mainali Rosina O. Weber XAI 39 0 0 18 Jul 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 37 3 0 25 May 2023
A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles Wei Liu Mingya Hua Zhi-Guo Deng Zonglin Meng Yanjun Huang ... Changsheng Liu Bin Shuai Amir Khajepour Lu Xiong Xin Xia 41 63 0 10 Mar 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 31 0 07 Feb 2023
Multi-agent Deep Covering Skill Discovery Jiayu Chen Marina Haliem Tian-Shing Lan Vaneet Aggarwal 18 0 0 07 Oct 2022
Sparse Vicious Attacks on Graph Neural Networks Giovanni Trappolini Valentino Maiorca Silvio Severino Emanuele Rodolà Fabrizio Silvestri Gabriele Tolomei AAML 30 8 0 20 Sep 2022
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients Hanhan Zhou Tian-Shing Lan Vaneet Aggarwal 26 31 0 04 Jan 2022
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 118 142 0 05 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020