Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

Q-Learning-Based Control for Discrete-Time Switched Affine Systems and Its Application to DC–DC Converter

Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...
IEEE

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning

Abstract: Offline Reinforcement Learning (RL) aims to learn policies from pre-collected datasets without any additional interaction. In order to perform well and robustly in dynamic environments with ...