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"

25 / 25 papers shown

Title
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 27 2 0 18 Oct 2024
OCALM: Object-Centric Assessment with Language Models Timo Kaufmann Jannis Blüml Antonia Wüst Quentin Delfosse Kristian Kersting Eyke Hüllermeier LM&Ro LRM 39 1 0 24 Jun 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations Lirui Luo Guoxi Zhang Hongming Xu Yaodong Yang Cong Fang Qing Li 37 11 0 19 Mar 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 49 18 0 11 Jan 2024
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 27 1 0 13 Dec 2023
Efficiently Quantifying Individual Agent Importance in Cooperative MARL Omayma Mahjoub Ruan de Kock Siddarth S. Singh Wiem Khlifi Abidine Vall Kale-ab Tessera Arnu Pretorius FAtt 30 2 0 13 Dec 2023
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks Tao Li Yunian Pan Quanyan Zhu AAML 21 5 0 02 Oct 2023
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective Muzhe Guo Feixu Yu Tian Lan Fang Jin OffRL LRM 6 0 0 09 Sep 2023
Automated Cyber Defence: A Review Sanyam Vyas J. Hannay A. Bolton Pete Burnap 31 19 0 08 Mar 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 21 0 0 14 Dec 2022
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios Niclas Schroeter Francisco Cruz S. Wermter 20 2 0 23 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 27 1 0 12 Nov 2022
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning Tom He Jasmina Gajcin Ivana Dusparic CML 6 5 0 02 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 22 9 0 07 Jul 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 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 29 21 0 08 Mar 2022
Boosting human decision-making with AI-generated decision aids Frederic Becker Julian Skirzyñski B. V. Opheusden Falk Lieder 30 13 0 05 Mar 2022
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021) Peter Vamplew Benjamin J. Smith Johan Källström G. Ramos Roxana Rădulescu ... Fredrik Heintz Patrick Mannion Pieter J. K. Libin Richard Dazeley Cameron Foale LRM 16 65 0 25 Nov 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 20 323 0 17 Mar 2021
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 12 28 0 03 Jul 2020
Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario Francisco Cruz Richard Dazeley Peter Vamplew Ithan Moreira 8 39 0 24 Jun 2020
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 15 8 0 16 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017