Jinzhu Luo

Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control

Data augmentation creates new data points by transforming the original ones for an reinforcement learning (RL) agent to learn from, which has been shown to be effective for the objective of improving data efficiency of RL for continuous control. Prior work towards this objective has been largely res…