Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
An anticipatory risk-guided reinforcement learning framework that achieves robust zero-shot Sim-to-Real transfer on a physical quadrotor, relying purely on abstracted spatio-temporal depth sequences and its self-predicted risk priors, validating the effectiveness of the approach and its robust generalization from simul...