Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning
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DOI: 10.1109/tnnls.2024.3435406
Abstract: Deep reinforcement learning (RL) has witnessed remarkable success in a wide range of control tasks. To overcome RL’s notorious sample inefficiency, prior studies have explored data augmentation techniques leveraging collected transition data. However, these methods… read more here.
Keywords: value; value assignment; doubly robust; continuous value ... See more keywords