research
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06/14/2023
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
This paper proposes the transition-net, a robust transition strategy tha...
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11/30/2021
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
This paper proposes the Transition Motion Tensor, a data-driven framewor...
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12/29/2020
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
In this paper, we propose a framework called TrustMAE to address the pro...
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09/18/2020
GrateTile: Efficient Sparse Tensor Tiling for CNN Processing
We propose GrateTile, an efficient, hardwarefriendly data storage scheme...
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05/07/2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Motion synthesis in a dynamic environment has been a long-standing probl...
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11/07/2019
