Researchers at the University of Tokyo Developed an Extended Photonic Reinforcement Learning Scheme that Moves from the Static Bandit Problem Towards a more Challenging Dynamic Environment

In the world of machine learning, the concept of reinforcement learning has taken center stage, enabling agents to conquer tasks through iterative trial and error within a specific environment. It highlights the achievements in this field, such as using photonic approaches for outsourcing computational costs and capitalizing on the physical attributes of the light. It […]

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