Abstract: Reinforcement learning (RL) has emerged as a key approach for training agents in complex and uncertain environments. Incorporating statistical inference in RL algorithms is essential for ...

⚡ Comprehensive collection of Design & Analysis of Algorithms 🚀 | Includes 🧮 Sorting, 💡 Dynamic Programming, 🎯 Greedy, 🌐 Graph, and 🔤 String Matching | Implemented in ⚙️ C++ with STL | Perfect ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

We study the greedy (exploitation-only) algorithm in bandit problems with a known reward structure. We allow arbitrary finite reward structures, while prior work focused on a few specific ones. We ...

1 Faculty of Computer Science, The College of Management Academic Studies, Rishon Lezion, Israel 2 Department of Mathematics, Faculty of Science, Jerusalem College of Technology, Jerusalem, Israel ...

Rockburst is a dynamic instability disaster occurring in deep underground engineering under high ground stress, caused by the release of elastic strain energy within the surrounding rock during ...

Background: While speech analysis holds promise for mental health assessment, research often focuses on single symptoms, despite symptom co-occurrences and interactions. In addition, predictive models ...

Abstract: We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received ...

Objectives To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of ...

We are living in an era of astonishing data proliferation and the sharing of user-created content across all kinds of media, from social networks to news sites, e-commerce reviews to endless forums ...