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A Survey on Interpretable Reinforcement Learning

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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