Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey

20 August 2021

Papers citing "Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey"

11 / 11 papers shown

Title
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 20 1 0 13 Dec 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 35 3 0 24 Jan 2023
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario Hugo Munoz Ernesto Portugal Angel Ayala Bruno José Torres Fernandes Francisco Cruz 14 0 0 14 Dec 2022
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios Niclas Schroeter Francisco Cruz S. Wermter 13 2 0 23 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 22 8 0 21 Oct 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 17 9 0 07 Jul 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 26 26 0 22 Mar 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 14 20 0 08 Mar 2022
Boosting human decision-making with AI-generated decision aids Frederic Becker Julian Skirzyñski B. V. Opheusden Falk Lieder 17 13 0 05 Mar 2022
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 8 8 0 16 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017