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Michael Ruan

2 accepted papers

2023

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

ICLR 2023top-5%

Variational autoencoders (VAEs) are powerful tools for learning latent representations of data used in a wide range of applications. In practice, VAEs usually require multiple training rounds to choose the amount of information the latent variable should retain. This trade-off between the reconstruc…

Cited by 21SourcePDFScholar
2021

A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain

RA-L 2021

Robots that autonomously navigate real-world 3D cluttered environments need to safely traverse terrain with abrupt changes in surface normals and elevations. In this letter, we present the development of a novel sim-to-real pipeline for a mobile robot to effectively learn how to navigate real-world

Cited by 94SourceScholar