Explainable Reinforcement Learning: A Survey

13 May 2020

Papers citing "Explainable Reinforcement Learning: A Survey"

8 / 58 papers shown

Title
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 27 142 0 14 Dec 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 40 237 0 06 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems Eric M. S. P. Veith Nils Wenninghoff Emilie Frost 28 5 0 27 May 2020
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement Learning Marko Vasic Andrija Petrović Kaiyuan Wang Mladen Nikolic Rishabh Singh S. Khurshid OffRL MoE 22 23 0 16 Jun 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,698 0 28 Feb 2017
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 28 79 0 19 Oct 2016