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Magnetic control of tokamak plasmas through deep reinforcement learning., , , , , , , , , and 21 other author(s). Nat., 602 (7897): 414-419 (2022)An open source, fiducial based, visual-inertial motion capture system., , and . FUSION, page 1523-1530. IEEE, (2016)Value constrained model-free continuous control., , , , , and . CoRR, (2019)Online walking motion and foothold optimization for quadruped locomotion., , , , and . ICRA, page 5308-5313. IEEE, (2017)Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking., , , , , , and . ICRA, page 1398-1404. IEEE, (2016)Towards practical reinforcement learning for tokamak magnetic control., , , , , , , , , and 8 other author(s). CoRR, (2023)A Constrained Multi-Objective Reinforcement Learning Framework., , , , , , , , , and 1 other author(s). CoRL, volume 164 of Proceedings of Machine Learning Research, page 883-893. PMLR, (2021)Projection based whole body motion planning for legged robots., , , and . CoRR, (2015)Evaluating direct transcription and nonlinear optimization methods for robot motion planning., , , , and . CoRR, (2015)A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control., , , , and . CoRR, (2017)