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Baohe Zhang

2 accepted papers

2024

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry

ICRA 2024poster

Geometric regularity, which leverages data symmetry, has been successfully incorporated into deep learning architectures such as CNNs, RNNs, GNNs, and Transformers. While this concept has been widely applied in robotics to address the curse of dimensionality when learning from high-dimensional data,…

Cited by 5SourceScholar
2021

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

AISTATS 2021poster

Model-based Reinforcement Learning (MBRL) is a promising framework for learning control in a data-efficient manner. MBRL algorithms can be fairly complex due to the separate dynamics modeling and the subsequent planning algorithm, and as a result, they often possess tens of hyperparameters and archi…