91 citations · 107 across the 2 of their papers we have counts for
2 papers
cs.RO2020★ 91 cited
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan +2
Reliable and stable locomotion has been one of the most fundamental challenges for legged robots. Deep reinforcement learning (deep RL) has emerged as a promising method for develo…
cs.LG2020★ 16 cited
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh, Natalia Ponomareva, Petros Mol +2
Neural networks and tree ensembles are state-of-the-art learners, each with its unique statistical and computational advantages. We aim to combine these advantages by introducing a…