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Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning.

, , , , , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 990-999. PMLR, (2020)

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Feedback Linearization for Uncertain Systems via Reinforcement Learning., , , , , , and . ICRA, page 1364-1371. IEEE, (2020)Competitive Statistical Estimation with Strategic Data Sources., , , and . CoRR, (2019)High Confidence Sets for Trajectories of Stochastic Time-Varying Nonlinear Systems., , , and . CDC, page 4275-4280. IEEE, (2020)Feedback Linearization for Unknown Systems via Reinforcement Learning., , , , , , and . CoRR, (2019)Optimal Control of Piecewise-Smooth Control Systems via Singular Perturbations., , , and . CDC, page 3046-3053. IEEE, (2019)Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning., , , , , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 990-999. PMLR, (2020)Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models., , and . CoRR, (2023)Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning., , , , , and . CoRR, (2020)Competitive Statistical Estimation With Strategic Data Sources., , , and . IEEE Trans. Autom. Control., 65 (4): 1537-1551 (2020)Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models., , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 2478-2497. PMLR, (2023)