Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Quantum computing is moving fast, and by 2026, knowing about quantum programming languages will be a big deal. It’s not just ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

New Quantum-as-a-Service platform helps entrepreneurs analyze complex tax, investment, and financial decisions faster ...

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Abstract: Q-learning is arguably one of the most applied representative reinforcement learning approaches and one of the off-policy strategies. Since the emergence of Q-learning, many studies have ...

Abstract: This paper studies a deep reinforcement learning technique for distributed resource allocation among cognitive radios operating under an underlay dynamic spectrum access paradigm which does ...

Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...