Intrinsic gradient oxygen-driven second-order memristors for continual reinforcement learning

Ming et. al. reports a memristor with an intrinsic ionic gradient that enables stable second-order dynamics and physically modulated learning rates. The device supports stable, energy-efficient continual reinforcement learning and adaptive decision-making.