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Einoshin Suzuki

2 accepted papers

2023

Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning

ICRA 2023poster

We propose Predictive Information bottleneck for Goal representation learning (PI-Goal), a self-supervised method for sample-efficient goal-conditioned reinforcement learning (RL). Goal-conditioned RL learns to reach commanded goals with reward signals. A goal could be given in a noisy or abstract f…

Cited by 0SourceScholar
2016

Hierarchical Gaussian Descriptor for Person Re-Identification

CVPR 2016poster

Describing the color and textural information of a person image is one of the most crucial aspects of person re-identification. In this paper, we present a novel descriptor based on a hierarchical distribution of pixel features. A hierarchical covariance descriptor has been successfully applied for…

Cited by 744PDFScholar