Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World

no code implementations • 15 Aug 2023 • Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius

For this reason, a large part of the reinforcement learning (RL) community uses simulators to develop and benchmark algorithms.

Offline RL reinforcement-learning +1

Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning

no code implementations • 18 May 2020 • Minho Kim, Jongchan Baek, Soohee Han

SAC can deal with not only the flexible charge time but also varying parameters of the battery model caused by aging once the offline learning is completed, which is not the case for the previous studies; in the previous studies, time-consuming optimization has to be implemented for each battery model with a certain set of parameter values.

reinforcement-learning Reinforcement Learning (RL)