Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2203.11547
Cited By
Explainability in reinforcement learning: perspective and position
22 March 2022
Agneza Krajna
Mario Brčič
T. Lipić
Juraj Dončević
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Explainability in reinforcement learning: perspective and position"
16 / 16 papers shown
Title
Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
Ardian Selmonaj
Alessandro Antonucci
Adrian Schneider
Michael Rüegsegger
Matthias Sommer
22
0
0
16 May 2025
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
49
13
0
19 Aug 2024
Safe and Robust Reinforcement Learning: Principles and Practice
Taku Yamagata
Raúl Santos-Rodríguez
OffRL
43
2
0
27 Mar 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
55
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
32
192
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
32
5
0
04 Sep 2023
Programming-by-Demonstration for Long-Horizon Robot Tasks
Noah T Patton
Kia Rahmani
Meghana Missula
Joydeep Biswas
Icsil Dillig
30
10
0
04 May 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives
Roberto Casadei
AI4CE
18
15
0
11 Apr 2023
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment
Ansh Mittal
Aditya Malte
16
0
0
20 Jan 2023
Prismal view of ethics
Sarah Isufi
Kristijan Poje
Igor Vukobratovic
Mario Brčič
26
4
0
26 May 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
59
58
0
26 Sep 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
593
0
31 Dec 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
52
225
0
23 Jan 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 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
1