Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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

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

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

企画職の為のディープラーニングの論文解説です。DLの概要理解を通してAIのビジネス活用企画を立案する事を目的としておりDL専門家視点では細かな間違いが含まれている可能性があります。 強化学習の時系列処理にTransformer（causal transformer）という2021年 ...