Explainability in reinforcement learning: perspective and position

Explainability in reinforcement learning: perspective and position

22 March 2022

Juraj Dončević

Papers citing "Explainability in reinforcement learning: perspective and position"

15 / 15 papers shown

Title
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 27 2 0 18 Oct 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 36 12 0 19 Aug 2024
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 30 1 0 27 Mar 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 41 18 0 11 Jan 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 24 186 0 30 Oct 2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning Qisen Yang Huanqian Wang Mukun Tong Wenjie Shi Gao Huang Shiji Song 13 5 0 04 Sep 2023
Programming-by-Demonstration for Long-Horizon Robot Tasks Noah T Patton Kia Rahmani Meghana Missula Joydeep Biswas Icsil Dillig 22 9 0 04 May 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives Roberto Casadei AI4CE 16 15 0 11 Apr 2023
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment Ansh Mittal Aditya Malte 6 0 0 20 Jan 2023
Prismal view of ethics Sarah Isufi Kristijan Poje Igor Vukobratovic Mario Brčič 16 4 0 26 May 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 49 56 0 26 Sep 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li M. Tomizuka 45 219 0 23 Jan 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies D. Hein A. Hentschel Thomas Runkler Steffen Udluft OffRL 18 78 0 19 Oct 2016