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MPC-Net: A First Principles Guided Policy Search., , и . IEEE Robotics Autom. Lett., 5 (2): 2897-2904 (2020)DeepGait: Planning and Control of Quadrupedal Gaits Using Deep Reinforcement Learning., , , , и . IEEE Robotics Autom. Lett., 5 (2): 3699-3706 (2020)Collision-Free MPC for Legged Robots in Static and Dynamic Scenes., , , и . ICRA, стр. 8266-8272. IEEE, (2021)A Collision-Free MPC for Whole-Body Dynamic Locomotion and Manipulation., , , , и . ICRA, стр. 4686-4693. IEEE, (2022)Budgeted Knowledge Transfer for State-Wise Heterogeneous RL Agents., , и . ICONIP (1), том 7663 из Lecture Notes in Computer Science, стр. 439-446. Springer, (2012)An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion., , , , и . CoRR, (2016)Haptic Teleoperation of High-dimensional Robotic Systems Using a Feedback MPC Framework., , , и . IROS, стр. 6197-6204. IEEE, (2022)Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots., , и . ICRA, стр. 8366-8372. IEEE, (2021)Constraint Handling in Continuous-Time DDP-Based Model Predictive Control., , и . ICRA, стр. 8209-8215. IEEE, (2021)Circus ANYmal: A Quadruped Learning Dexterous Manipulation with Its Limbs., , , , , , , , и . ICRA, стр. 2316-2323. IEEE, (2021)