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

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Napat Karnchanachari, Miguel de la Iglesia Valls, David Hoeller, Marco Hutter 0001. Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot. In Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Volume 120 of Proceedings of Machine Learning Research, pages 211-224, PMLR, 2020. [doi]

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