Abstract: The overestimation caused by function approximation is a well-known property in Q-learning algorithms, especially in single-critic models, which leads to poor performance in practical tasks.
Abstract: This article investigates the optimal tracking problem for discrete-time autonomous nonlinear switched systems with the switching cost. To avoid excessive ...
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Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable resource, staying up-to-date with the latest research ...
I am Professor in the Industrial Engineering and Operations Research department at Columbia University. I received my PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School ...
Background Hepatocellular carcinoma (HCC), one of the most prevalent cancers worldwide, has a high mortality owing to diagnostic challenges and therapeutic resistance. Lactate metabolism and protein ...
The latest film of the wildly successful spinoff franchise ushers the Minions into a new era of cultural ubiquity, while bringing some new creative juice. By Brandon Yu Millie Bobby Brown shines as ...
Criteria for M2M/IoT-related assignments under Recommendation ITU-T E.164.1 and Recommendation ITU-T E.212 Annex A ...