R <scp>e</scp> LAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models-Reference-Cited by-同舟云学术

R e LAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Chen Ziheng¹,Silvestri Fabrizio²,Wang Jia³,Zhu He⁴,Ahn Hongshik¹,Tolomei Gabriele²

Affiliation:

1. Stony Brook University, Stony Brook, NY, USA

2. Sapienza University of Rome, Rome, Italy

3. The Xi'an Jiaotong-Liverpool University, Su Zhou, China

4. Rutgers University, New Brunswick, NJ, USA

Funder

XJTLU Research Development Fund

AI Empowerment Tech. Inc. Research Fund

Italian Ministry of Education University and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557429

Reference50 articles.

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3. 1988. Sonar Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/connectionistbench(sonar minesvs.rocks). 1988. Sonar Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/connectionistbench(sonar minesvs.rocks).

4. 1988. Wave Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/waveformdatabasegenerator(version1). 1988. Wave Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/waveformdatabasegenerator(version1).

5. 1995. Breast Cancer Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/breastcancerwisconsin(diagnostic). 1995. Breast Cancer Dataset. [Online]. Available from: https://archive.ics.uci.edu/ml/datasets/breastcancerwisconsin(diagnostic).

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