activity
20192026
most citedES-MAML: Simple Hessian-Free Meta Learning

50 citations · 129 across the 35 of their papers we have counts for

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5 papers · 1 filter

cs.LG2019★ 50 cited

ES-MAML: Simple Hessian-Free Meta Learning

Xingyou Song, Wenbo Gao, Yuxiang Yang +3

We introduce ES-MAML, a new framework for solving the model agnostic meta learning (MAML) problem based on Evolution Strategies (ES). Existing algorithms for MAML are based on poli…

cs.NE2019★ 2 cited

Reinforcement Learning with Chromatic Networks for Compact Architecture Search

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder +6

We present a neural architecture search algorithm to construct compact reinforcement learning (RL) policies, by combining ENAS and ES in a highly scalable and intuitive way. By def…

cs.LG2019★ 28 cited

Data Efficient Reinforcement Learning for Legged Robots

Yuxiang Yang, Ken Caluwaerts, Atil Iscen +3

We present a model-based framework for robot locomotion that achieves walking based on only 4.5 minutes (45,000 control steps) of data collected on a quadruped robot. To accurately…

cs.LG2019

NoRML: No-Reward Meta Learning

Yuxiang Yang, Ken Caluwaerts, Atil Iscen +2

Efficiently adapting to new environments and changes in dynamics is critical for agents to successfully operate in the real world. Reinforcement learning (RL) based approaches typi…

cs.RO2019★ 1 cited

OpenRoACH: A Durable Open-Source Hexapedal Platform with Onboard Robot Operating System (ROS)

Liyu Wang, Yuxiang Yang, Gustavo Correa +2

OpenRoACH is a 15-cm 200-gram self-contained hexapedal robot with an onboard single-board computer. To our knowledge, it is the smallest legged robot with the capability of running…