Symmetric data augmentation plus dual-critic DDPG accelerates policy convergence for fixed-wing aircraft lateral attitude control under an MDP symmetry assumption.
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UA Vs: Field Experiments, IEEE Transactions on Neural Networks and Learn- ing Systems, 2024
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Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft
Symmetric data augmentation plus dual-critic DDPG accelerates policy convergence for fixed-wing aircraft lateral attitude control under an MDP symmetry assumption.