Early Verification of ISA Extension Specifications using Deep Reinforcement Learning
Author:
Affiliation:
1. Cyber-Physical Systems, DFKI GmbH, Bremen, Germany
2. Johannes Kepler University & Cyber-Physical Systems, DFKI GmbH, Linz, Austria
3. University of Bremen & Cyber-Physical Systems, DFKI GmbH, Bremen, Germany
Funder
German Federal Ministry of Education and Research (BMBF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3386263.3406901
Reference29 articles.
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2. Takumi Akazaki Shuang Liu Yoriyuki Yamagata Yihai Duan and Jianye Hao. 2018. Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. In Formal Methods. 456--465. Takumi Akazaki Shuang Liu Yoriyuki Yamagata Yihai Duan and Jianye Hao. 2018. Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. In Formal Methods. 456--465.
3. Deep Reinforcement Learning: A Brief Survey
4. Hardware is the new Software
5. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. arXiv:1606.01540. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. OpenAI Gym. arXiv:1606.01540.
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