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On Training Flexible Robots using Deep Reinforcement Learning



Zach Dwiel , Madhavun Candadai , Mariano Phielipp

* Accepted at the Intelligent Robots and Systems (IRoS) conference, 2019. Camera-ready version coming soon 

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Collaborative Evolutionary Reinforcement Learning



Shauharda Khadka , Somdeb Majumdar , Tarek Nassar , Zach Dwiel , Evren Tumer , Santiago Miret , Yinyin Liu , Kagan Tumer

* Added link to public Github repo. Minor editorial changes. Order of authors modified to reflect ICML submission 

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Hierarchical Policy Learning is Sensitive to Goal Space Design



Zach Dwiel , Madhavun Candadai , Mariano J. Phielipp , Arjun K. Bansal

* Accepted to be presented at Task-Agnostic Reinforcement Learning (TARL) workshop at ICLR'19 

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Artificial Intelligence for Prosthetics - challenge solutions



Łukasz Kidziński , Carmichael Ong , Sharada Prasanna Mohanty , Jennifer Hicks , Sean F. Carroll , Bo Zhou , Hongsheng Zeng , Fan Wang , Rongzhong Lian , Hao Tian , Wojciech Jaśkowski , Garrett Andersen , Odd Rune Lykkebø , Nihat Engin Toklu , Pranav Shyam , Rupesh Kumar Srivastava , Sergey Kolesnikov , Oleksii Hrinchuk , Anton Pechenko , Mattias Ljungström , Zhen Wang , Xu Hu , Zehong Hu , Minghui Qiu , Jun Huang , Aleksei Shpilman , Ivan Sosin , Oleg Svidchenko , Aleksandra Malysheva , Daniel Kudenko , Lance Rane , Aditya Bhatt , Zhengfei Wang , Penghui Qi , Zeyang Yu , Peng Peng , Quan Yuan , Wenxin Li , Yunsheng Tian , Ruihan Yang , Pingchuan Ma , Shauharda Khadka , Somdeb Majumdar , Zach Dwiel , Yinyin Liu , Evren Tumer , Jeremy Watson , Marcel Salathé , Sergey Levine , Scott Delp


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