Tag: adversarial reinforcement learning
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VL-Calibration: Boosting Confidence in Vision-Language Models
Discover VL-Calibration, a novel method that improves confidence calibration and reasoning accuracy in large vision-language models for safer AI applicatio...
SafeAdapt: Provably Safe Policy Updates in Deep RL
SafeAdapt ensures provably safe policy updates in deep reinforcement learning, preserving safety during adaptation in dynamic environments.
Physics-Guided Learning Cuts Turbulent Wing Drag 28%
Discover how physics-guided surrogate learning enables zero-shot control of turbulent wings, reducing drag by 28.7% and boosting aircraft efficiency.
Visually-Guided Policy Optimization for Enhanced Multimodal AI
Discover how Visually-Guided Policy Optimization improves visual focus and reasoning in vision-language models for advanced multimodal AI tasks.
SatQNet: Optimized Quantum Entanglement Routing via Satellites
Discover SatQNet's AI-driven approach to efficient satellite-assisted quantum entanglement routing for secure, scalable quantum networks.