Chuangchuang Sun
Orcid: 0000-0003-3049-5828
According to our database1,
Chuangchuang Sun
authored at least 32 papers
between 2013 and 2024.
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Bibliography
2024
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach.
CoRR, 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach.
IEEE Robotics Autom. Lett., November, 2023
IEEE Control. Syst. Lett., 2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming.
CoRR, 2023
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming.
CoRR, 2023
2022
Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks.
IEEE Trans. Control. Netw. Syst., 2022
An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
A Unified Formulation and Nonconvex Optimization Method for Mixed-Type Decision-Making of Robotic Systems.
IEEE Trans. Robotics, 2021
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Optimal composition of heterogeneous multi-agent teams for coverage problems with performance bound guarantees.
Autom., 2020
Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Continuous-Time Safe Learning with Temporal Logic Constraints in Adversarial Environments.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
An Iterative Rank Penalty Method for Nonconvex Quadratically Constrained Quadratic Programs.
SIAM J. Control. Optim., 2019
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Weighted Network Design With Cardinality Constraints via Alternating Direction Method of Multipliers.
IEEE Trans. Control. Netw. Syst., 2018
Distributed Optimization for Convex Mixed-Integer Programs based on Projected Subgradient Algorithm.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
A customized ADMM for rank-constrained optimization problems with approximate formulations.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
A Flexible Concept for Designing Multiaxis Force/Torque Sensors Using Force Closure Theorem.
IEEE Trans. Instrum. Meas., 2013