Tag: reinforcement learning

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 ...

A comprehensive new review reveals how false data injection attacks, now supercharged by generative AI and coordinated cyber-physical tactics, threaten ...

A motion-capture study of rock-paper-scissors shows that in fast-paced competition, contextual inference based on reinforcement learning outperforms reading an opponent's ...