Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for ...
Whether you like theoretical study or want to get your hands dirty, plenty of reinforcement learning resources are out there. When I was in graduate school in the 1990s, one of my favorite classes was ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
If you've ever seen a James Bond-style action film, you know the basic story line. An evil genius is planning world domination, from his secret lair, high in the mountains, deep under the ocean or ...
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