AI That Explains Itself Keeps Smart-City Sensor Networks Alive Far Longer
A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...
A new explainable reinforcement learning framework called XEACH extends the lifetime of smart-city IoT sensor networks by up to 88 ...
Researchers at TU Delft have developed MonoRace, an AI system that flew a racing drone at up to 100 km/h ...
Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...
Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...
A new AI framework combines multimodal sensing, rule-constrained hidden Markov modeling, and Q-learning to generate piano fingerings that are accurate, ...
Researchers developed Found-RL, an open-source platform that lets vision-language models mentor lightweight reinforcement learning agents asynchronously, producing compact autonomous driving ...
Researchers have developed a reliability-aware adaptive actor-critic reinforcement learning framework that jointly optimizes service function chain deployment in mobile edge ...
Researchers in Saudi Arabia have trained a dialogue system with reinforcement learning to treat small talk as an action that ...
A computational reinforcement learning study of 198 players found that larger in-game rewards and punishments accelerated prosocial learning within the ...
Researchers in China have built a drone trajectory generation system that combines YOLOv8 detection, LSTM motion prediction, and Q-learning-optimized nonlinear ...
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© 2025 Scienmag - Science Magazine