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

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python code. Perfect for those diving into advanced reinforcement learning ...

Houston, Sept. 18, 2024 (GLOBE NEWSWIRE) -- Imubit Launches Optimizing Brain™ Solution: The Process Industry’s First Closed Loop AI Optimization Solution Powered by Reinforcement Learning Houston, TX ...

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...