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Policy Distillation with Selective Input Gradient Regularization for
  Efficient Interpretability

Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability

18 May 2022
Jinwei Xing
Takashi Nagata
Xinyun Zou
Emre Neftci
J. Krichmar
    AAML
ArXivPDFHTML

Papers citing "Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability"

2 / 2 papers shown
Title
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based
  Robot Navigation
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Aaron M. Roth
Jing Liang
Ram D. Sriram
Elham Tabassi
Tianyi Zhou
34
1
0
19 Sep 2022
Robust Deep Reinforcement Learning for Security and Safety in Autonomous
  Vehicle Systems
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems
A. Ferdowsi
Ursula Challita
Walid Saad
N. Mandayam
AAML
55
94
0
02 May 2018
1