by instadatahelp | Aug 27, 2023 | AI Blogs
Previous studies have shown impressive control performance in complex robotic systems by using neural networks and model-free reinforcement learning. However, these controllers with natural motion and high task performance require extensive reward engineering, which...
by instadatahelp | Aug 27, 2023 | AI Blogs
Concentration Analysis of Multivariate Elliptic Diffusions Lukas Trottner, Cathrine Aeckerle-Willems, Claudia Strauch; 24(106):1−38, 2023. Abstract This study presents concentration inequalities and associated PAC bounds for both continuous- and discrete-time additive...
by instadatahelp | Aug 27, 2023 | AI Blogs
The concept of Class Incremental Learning (CIL) revolves around the idea of learning new classes in a sequential manner while preventing the loss of previous knowledge. In order to achieve this, we suggest the use of Masked Autoencoders (MAEs) as efficient learners...
by instadatahelp | Aug 27, 2023 | AI Blogs
Enhancing parallel computing in multiple-try Metropolis with local balancing Philippe Gagnon, Florian Maire, Giacomo Zanella; 24(248):1−59, 2023. Abstract Multiple-try Metropolis (MTM) is a widely used Markov chain Monte Carlo method that can be effectively...
by instadatahelp | Aug 27, 2023 | AI Blogs
[Submitted on 24 Aug 2023] Click here to download a PDF of the paper titled “False Information, Bots and Malicious Campaigns: Demystifying Elements of Social Media Manipulations,” written by Mohammad Majid Akhtar and 3 other authors. Download PDF Abstract:...