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How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation


May 06, 2022
Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis


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Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes


Nov 03, 2021
Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin Riedmiller, Raia Hadsell, Francesco Nori

* CoRL 2021. Video: https://dpmd.ai/robotics-stacking-YT . Blog: https://dpmd.ai/robotics-stacking . Code: https://github.com/deepmind/rgb_stacking 

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Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner


Oct 30, 2021
Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis

* A shorter version without appendix was submitted to ICRA 2022 

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On Multi-objective Policy Optimization as a Tool for Reinforcement Learning


Jun 15, 2021
Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, Andras Gyorgy, Csaba Szepesvari, Raia Hadsell, Nicolas Heess, Martin Riedmiller


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Manipulator-Independent Representations for Visual Imitation


Mar 18, 2021
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis


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Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation


Oct 21, 2019
Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori


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Off-Policy Evaluation via Off-Policy Classification


Jun 20, 2019
Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine

* Accepted to ICML 2019 RL4RealLife workshop 

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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks


Mar 25, 2019
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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