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2112.13112
Cited By
A Survey on Interpretable Reinforcement Learning
24 December 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Tianpei Yang
Jianye Hao
Wulong Liu
OffRL
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Papers citing
"A Survey on Interpretable Reinforcement Learning"
15 / 15 papers shown
Title
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq
Kamran Iqbal
OffRL
79
1
0
13 Feb 2025
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications
Wataru Hatanaka
R. Yamashina
Takamitsu Matsubara
105
0
0
31 Jan 2025
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic
Huaiyuan Yao
Longchao Da
Vishnu Nandam
Justin Turnau
Zhiwei Liu
Linsey Pang
Hua Wei
LLMAG
61
4
0
10 Jan 2025
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio
Mark W. Mueller
17
0
0
07 Oct 2024
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
Tom Bewley
J. Lawry
Arthur G. Richards
25
1
0
26 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
53
7
0
24 Apr 2023
Explainable Reinforcement Learning on Financial Stock Trading using SHAP
Satyam Kumar
Mendhikar Vishal
V. Ravi
AIFin
14
8
0
18 Aug 2022
Explainability in reinforcement learning: perspective and position
Agneza Krajna
Mario Brčič
T. Lipić
Juraj Dončević
26
26
0
22 Mar 2022
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
M. Tomizuka
45
222
0
23 Jan 2020
Reinforcement Learning with Non-Markovian Rewards
Maor Gaon
Ronen I. Brafman
OffRL
25
75
0
05 Dec 2019
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
54
209
0
24 May 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
236
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies
D. Hein
A. Hentschel
Thomas Runkler
Steffen Udluft
OffRL
23
78
0
19 Oct 2016
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