Kido, K. ., Sedwards, S. ., & Hasuo, I. . (2018). Bounding Errors Due to Switching Delays in Incrementally Stable Switched Systems. Oxford, United Kingdom: Elsevier. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405896318311583
Reference author: Ichiro Hasuo
First name
Ichiro
Last name
Hasuo
Zhang, Z. ., Ernst, G. ., Hasuo, I. ., & Sedwards, S. . (2018). Time-Staging Enhancement of Hybrid System Falsification. Porto, Portugal: IEEE. Retrieved from https://ieeexplore.ieee.org/abstract/document/8429475
Zhang, Z. ., Ernst, G. ., Sedwards, S. ., Arcani, P. ., & Hasuo, I. . (2018). Two-Layered Falsification of Hybrid Systems Guided by Monte Carlo Tree Search. IEEE TCAD. Torino, Italy: IEEE. Retrieved from https://ieeexplore.ieee.org/document/8418450
Kido, K. ., Sedwards, S. ., & Hasuo, I. . (2017). Switching Delays and the Skorokhod Distance in Incrementally Stable Switched Systems. Seoul, South Korea: Springer. Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-17910-6_9
Ernst, G. ., Sedwards, S. ., Zhang, Z. ., & Hasuo, I. . (2021). Falsification of Hybrid Systems Using Adaptive Probabilistic Search. ACM Transactions on Modeling and Computer Simulation (TOMACS), 31, 1-22. https://doi.org/10.1145/3459605
Lee, S. ., Lee, J. ., & Hasuo, I. . (2021). Predictive PER: Balancing Priority and Diversity Towards Stable Deep Reinforcement Learning. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534243
Lee, S. ., Lee, J. ., & Hasuo, I. . (2020). Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning. Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning. Presented at the. Retrieved from https://sites.google.com/view/deep-rl-workshop-neurips2020/home
Ernst, G. ., Sedwards, S. ., Zhang, Z. ., & Hasuo, I. . (2019). Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input. Glasgow, Scotland: Springer.