Abstract: Deep reinforcement learning (DRL) algorithms have been proven to be effective in traffic signal timing scheme optimization and helpful for urban traffic congestion alleviation. Recently, the ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

A new technical paper titled “DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design” was published by researchers at Intel Corporation, ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...

1 Department of Electrical and Computer Engineering, Gulf University for Science and Technology, Hawally, Kuwait 2 Department of Engineering Management, GUST, Hawally, Kuwait Introduction: This study ...

School of Materials Science and Engineering (MSE), Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Republic of Singapore Institute of Materials Research and Engineering (IMRE), ...

In case you've faced some hurdles solving the clue, Repetitive learning method, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure time, ...