Learning impartial policies for sequential counterfactual explanations
using Deep Reinforcement Learning

Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning

1 November 2023

E. Panagiotou

Papers citing "Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning"

6 / 6 papers shown

Title
Counterfactual Explanations in Sequential Decision Making Under Uncertainty Stratis Tsirtsis A. De Manuel Gomez Rodriguez 71 46 0 06 Jul 2021
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 62 258 0 23 Apr 2020
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 46 171 0 10 Oct 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 126 3,961 0 06 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015