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Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware.

, , , and . ICRA, page 1-6. IEEE, (2018)

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Learning from outside the viability kernel: Why we should build robots that can fall with grace., and . SIMPAR, page 55-61. IEEE, (2018)Beyond Basins of Attraction: Evaluating Robustness of Natural Dynamics., and . CoRR, (2018)An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research., , , , , , , , , and 2 other author(s). CoRR, (2019)Learning Emergent Gaits with Decentralized Phase Oscillators: on the role of Observations, Rewards, and Feedback., , , and . CoRR, (2024)Optimal Scheduling of Models and Horizons for Model Hierarchy Predictive Control., , , and . ICRA, page 9952-9958. IEEE, (2023)Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware., , , and . CoRR, (2017)Beyond Basins of Attraction: Quantifying Robustness of Natural Dynamics., and . IEEE Trans. Robotics, 35 (4): 939-952 (2019)Safe Value Functions., , , and . IEEE Trans. Autom. Control., 68 (5): 2743-2757 (May 2023)Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware., , and . IEEE Robotics Autom. Mag., 29 (2): 75-84 (2022)Benchmarking Potential Based Rewards for Learning Humanoid Locomotion., , , and . ICRA, page 9204-9210. IEEE, (2023)