The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this architecture, upper-layer agents manage long-term global optimization tasks, ...

Reinforcement learning designs intelligent agents by training them to maximize rewards as they interact with their environment. As a machine learning researcher, I find it fitting that reinforcement ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with ...

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

Mohit Agarwal's work provides valuable insights into the transformative capabilities of MARL, highlighting its potential to drive innovation and efficiency in complex, real-time environments.

Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...