Rae Jeong

According to our database, Rae Jeong authored at least 12 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

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

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

"What, not how": Solving an under-actuated insertion task from scratch.

Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori

CoRR, 2020

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Dan A. Calian, Rae Jeong, Cosmin Paduraru, Nicolas Heess, Sumanth Dathathri, Martin A. Riedmiller, Timothy A. Mann

CoRR, 2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

CoRR, 2020

Importance Weighted Policy Learning and Adaption.

Alexandre Galashov, Jakub Sygnowski, Guillaume Desjardins, Jan Humplik, Leonard Hasenclever, Rae Jeong, Yee Whye Teh, Nicolas Heess

CoRR, 2020

Scaling data-driven robotics with reward sketching and batch reinforcement learning.

Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang

Proceedings of the Robotics: Science and Systems XVI, 2020

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

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Dexterous Manipulation from Suboptimal Experts.

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Alexandre Galashov, Nicolas Heess, Francesco Nori

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer.

Rae Jeong, Jackie Kay, Francesco Romano, Thomas Lampe, Thomas Rothörl, Abbas Abdolmaleki, Tom Erez, Yuval Tassa, Francesco Nori

CoRR, 2019

A Framework for Data-Driven Robotics.

Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang

CoRR, 2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy A. Mann, Todd Hester, Martin A. Riedmiller

CoRR, 2019