Practical Reinforcement Learning For MPC: Learning from sparse
objectives in under an hour on a real robot

Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot

6 March 2020

Napat Karnchanachari

Marco Hutter

Papers citing "Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot"

11 / 11 papers shown

Title
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies Jiajie Yu Yuhong Wang Wei Ma OffRL 98 1 0 14 Oct 2024
Deep Value Model Predictive Control Farbod Farshidian David Hoeller Marco Hutter 35 45 0 08 Oct 2019
AMZ Driverless: The Full Autonomous Racing System Juraj Kabzan M. I. Valls Victor Reijgwart Hubertus Franciscus Cornelis Hendrikx Claas Ehmke ... Abel Gawel Mark Pfeiffer Alexander Liniger John Lygeros Roland Siegwart 57 139 0 13 May 2019
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 61 224 0 05 Nov 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 186 1,263 0 30 May 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 47 376 0 22 Mar 2018
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds Michael Neunert M. Stäuble Markus Giftthaler C. D. Bellicoso Jan Carius Christian Gehring Marco Hutter J. Buchli 51 251 0 07 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 285 18,685 0 20 Jul 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 139 845 0 23 May 2017
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework Ugo Rosolia Francesco Borrelli 40 322 0 06 Sep 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 247 13,174 0 09 Sep 2015