Tag: Reinforcement Learning

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 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 ...

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 ...

Researchers have developed an AI-driven scheduler that predicts congestion in edge-cloud environments before it happens, cutting response times and protecting ...

Researchers at Visva-Bharati University have introduced the AI-modulated Pólya urn, a stochastic framework that unifies reinforcement learning, risk-sensitive control and ...

Researchers have built an AI framework that models the digital spread of Muyu Song, a Chinese intangible cultural heritage folk ...

By jointly modeling response times alongside choices, researchers disentangled working memory, cognitive control and reinforcement learning, and uncovered schizophrenia deficits ...

Researchers at Shanghai Jiao Tong University have developed a fault diagnosis framework that uses recurrent attentional reinforcement learning to adaptively ...

Researchers have built an AI framework that forecasts demand for individual live-streaming shopping sessions and uses reinforcement learning to automatically ...

Researchers have combined deep reinforcement learning with evolutionary computation to create an algorithm that adaptively selects genetic operators and transfers ...

Researchers at Tanta University show that a decentralized, coupling-aware SARSA reinforcement learning controller cut simulated HVAC energy use in a ...

Researchers in China have built a large language model-based scheduler that outperforms traditional and reinforcement learning methods for autonomous vehicle ...

Researchers in India have built a four-part neural system that uses contrastive learning, graph refinement, and reinforcement learning to find ...

A new conflict-aware framework teaches vision-language models to align their own uncertainty with tool confidence, reject unreliable OCR output, and ...