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Explaining Deep Reinforcement Learning Agents In The Atari Domain
  through a Surrogate Model

Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model

7 October 2021
Alexander Sieusahai
Matthew J. Guzdial
ArXivPDFHTML

Papers citing "Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model"

8 / 8 papers shown
Title
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
Dennis Gross
Helge Spieker
LLMSV
26
0
0
06 Jan 2025
Enhancing Two-Player Performance Through Single-Player Knowledge
  Transfer: An Empirical Study on Atari 2600 Games
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games
Kimiya Saadat
Richard Zhao
19
0
0
22 Oct 2024
Robot Explanation Identity
Robot Explanation Identity
Amar Halilovic
Senka Krivic
22
1
0
22 May 2024
A Surrogate Model Framework for Explainable Autonomous Behaviour
A Surrogate Model Framework for Explainable Autonomous Behaviour
K. Gavriilidis
A. Munafò
Wei Pang
Helen F. Hastie
17
7
0
31 May 2023
Symbolic Distillation for Learned TCP Congestion Control
Symbolic Distillation for Learned TCP Congestion Control
S. Sharan
Wenqing Zheng
Kuo-Feng Hsu
Jiarong Xing
Ang Chen
Zhangyang Wang
15
5
0
24 Oct 2022
Exploring Adaptive MCTS with TD Learning in miniXCOM
Exploring Adaptive MCTS with TD Learning in miniXCOM
Kimiya Saadat
Richard Zhao
17
1
0
10 Oct 2022
Explainability in Deep Reinforcement Learning, a Review into Current
  Methods and Applications
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
Tom Hickling
Abdelhafid Zenati
Nabil Aouf
P. Spencer
XAI
AI4TS
30
22
0
05 Jul 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
1