Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities

21 October 2022

Papers citing "Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities"

8 / 8 papers shown

Title
Counterfactual Strategies for Markov Decision Processes Paul Kobialka Lina Gerlach Francesco Leofante E. Ábrahám S. L. T. Tarifa E. Johnsen 23 0 0 14 May 2025
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Wenchang Duan Zhenguo Gao. Jinguo Xian Jiwan He Jinguo Xian 80 0 0 18 Dec 2024
Semifactual Explanations for Reinforcement Learning Jasmina Gajcin Jovan Jeromela Ivana Dusparic OffRL 35 0 0 09 Sep 2024
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization Philip Ndikum Serge Ndikum 44 1 0 27 Feb 2024
Explaining Learned Reward Functions with Counterfactual Trajectories Jan Wehner Frans Oliehoek Luciano Cavalcante Siebert 24 0 0 07 Feb 2024
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 156 1,630 0 02 Feb 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 202 435 0 30 Jan 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 163 495 0 08 Apr 2018