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Explaining a Deep Reinforcement Learning Docking Agent Using Linear
  Model Trees with User Adapted Visualization

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization

1 March 2022
Vilde B. Gjærum
Inga Strümke
O. Alsos
A. Lekkas
    FAtt
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Papers citing "Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization"

4 / 4 papers shown
Title
Real-Time Counterfactual Explanations For Robotic Systems With Multiple
  Continuous Outputs
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs
Vilde B. Gjærum
Inga Strümke
A. Lekkas
Tim Miller
OffRL
25
2
0
08 Dec 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Approximating a deep reinforcement learning docking agent using linear
  model trees
Approximating a deep reinforcement learning docking agent using linear model trees
Vilde B. Gjærum
Ella-Lovise H. Rørvik
A. Lekkas
27
6
0
01 Mar 2022
Causal versus Marginal Shapley Values for Robotic Lever Manipulation
  Controlled using Deep Reinforcement Learning
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
Sindre Benjamin Remman
Inga Strümke
A. Lekkas
CML
15
7
0
04 Nov 2021
1