Learning to Walk in the Real World with Minimal Human Effort

1 code implementation • 20 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.