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Neural-to-Tree Policy Distillation with Policy Improvement Criterion

Neural-to-Tree Policy Distillation with Policy Improvement Criterion

16 August 2021
Zhaorong Li
Yang Yu
Yingfeng Chen
Ke Chen
Zhipeng Hu
Changjie Fan
ArXivPDFHTML

Papers citing "Neural-to-Tree Policy Distillation with Policy Improvement Criterion"

3 / 3 papers shown
Title
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Chungman Lee
Pavlos Anastasios Apostolopulos
Igor L. Markov
FedML
22
1
0
23 Feb 2023
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
29
1
0
19 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
254
3,684
0
28 Feb 2017
1