Search Results for author: Zhenyu Tan

Found 2 papers, 2 papers with code

Learning to Walk in the Real World with Minimal Human Effort

1 code implementation20 Feb 2020 Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan

In this paper, we develop a system for learning legged locomotion policies with deep RL in the real world with minimal human effort.

Multi-Task Learning

The Tree Ensemble Layer: Differentiability meets Conditional Computation

2 code implementations ICML 2020 Hussein Hazimeh, Natalia Ponomareva, Petros Mol, Zhenyu Tan, Rahul Mazumder

We aim to combine these advantages by introducing a new layer for neural networks, composed of an ensemble of differentiable decision trees (a. k. a.

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