Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...

Abstract: The rapid proliferation of mobile devices within Internet of Things (IoT) has substantially heightened the demand for mobile edge computing (MEC). Fog computing (FC) is a more advanced form ...

The Robo Global Robotics and Automation Index ETF is rated a Buy for its global diversification, long track record, and exposure to robotics innovation. ROBO offers a unique mix of mid- and small-cap ...

A modular, cross-platform Proximal Policy Optimization (PPO) implementation that can be integrated into JavaScript SPAs, Node.js apps, Unity 3D games, Python applications, and more. The system uses a ...

School of Mechatronics and Automotive Engineering, Puyang Vocational and Technical College, Puyang, China Introduction: Parallel hybrid vehicles face challenges in real-time torque distribution, ...

This repository contains a detailed mindmap covering the fundamental concepts and advanced topics in Reinforcement Learning (RL). This mindmap was created as part of my personal learning journey to ...

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...