Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...

Reinforcement learning (RL) is a subfield of machine learning dedicated to teaching agents to make a sequence of decisions through interactions with a dynamic environment. In RL, an agent observes the ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...