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Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...
In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...
The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...
Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...
Forget vague ideals. See how Bloom and Skinner help educators measure learning through observable behaviors, practical ...
Researchers investigate reinforcement learning for climate adaptation, demonstrating its effectiveness in optimizing coastal flood protection strategies in NYC.
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 ...
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 ...