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Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming., and . CoRR, (2023)An Iterative Rank Penalty Method for Nonconvex Quadratically Constrained Quadratic Programs., and . SIAM J. Control and Optimization, 57 (6): 3749-3766 (2019)Influencing Long-Term Behavior in Multiagent Reinforcement Learning., , , , , , , and . NeurIPS, (2022)A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning., , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5541-5550. PMLR, (2021)Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming., and . CoRR, (2023)An Efficient Module Detection Algorithm for Large-Scale Complex Networks., and . ACC, page 4153-4158. IEEE, (2018)A decomposition method for nonconvex quadratically constrained quadratic programs., and . ACC, page 4631-4636. IEEE, (2017)A customized ADMM for rank-constrained optimization problems with approximate formulations., and . CDC, page 3769-3774. IEEE, (2017)Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data., , , and . CDC, page 5113-5118. IEEE, (2019)Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph., , and . IROS, page 11755-11762. IEEE, (2020)