Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

relearn/ ├── model_free_value_based/ # Q-Learning, DQN, Double DQN ├── model_free_policy_gradient/ # REINFORCE, PPO, TRPO ├── model_free_actor ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...

Suppose one has to address the maximum number of activities in a day, choosing them from a set of available activities, considering that one cannot handle more than one activity simultaneously. A ...

Abstract: Greedy algorithm is powerful and practical and has been used frequently in compressed sensing because it leads to relatively small calculation and is easy to be realized. GraDeS (Gradient ...