Chuangchuang Sun

48 papers A* 5A 1C 5Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning-Based Collaborative Control for Bi-Manual Tactile-Reactive Grasping. CoRR Leonel Giacobbe, Jingdao Chen, Chuangchuang Sun
2025	J	`jnl`	One Ring to Rule Them All: Constrained Distributional Control for Massive-Scale Heterogeneous Robotic Ensemble Systems. CoRR Andres Arias, Wei Zhang, Haoyu Qian, Jr-Shin Li, Chuangchuang Sun
2024	A*	`conf`	Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming. AAAI Minjae Cho, Chuangchuang Sun
2024	J	`jnl`	Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery. CoRR Minjae Cho, Chuangchuang Sun
2024	J	`jnl`	Multi-Task Learning for Few-Shot Online Adaptation under Signal Temporal Logic Specifications. CoRR Andres Arias, Chuangchuang Sun
2024	J	`jnl`	Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows. CoRR Minjae Cho, Jonathan P. How, Chuangchuang Sun
2024	J	`jnl`	Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning. CoRR Minjae Cho, Chuangchuang Sun
2024	J	`jnl`	Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach. CoRR Sungwook Yang, Chaoying Pei, Ran Dai, Chuangchuang Sun
2023	J	`jnl`	Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming. CoRR Minjae Cho, Chuangchuang Sun
2023	J	`jnl`	Distributed Optimization for Rank-Constrained Semidefinite Programs. IEEE Control. Syst. Lett. Chaoying Pei, Sixiong You, Chuangchuang Sun, Ran Dai
2023	J	`jnl`	Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming. CoRR Alaa Eddine Chriat, Chuangchuang Sun
2023	J	`jnl`	On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach. CoRR Alaa Eddine Chriat, Chuangchuang Sun
2023	J	`jnl`	On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach. IEEE Robotics Autom. Lett. Alaa Eddine Chriat, Chuangchuang Sun
2023	J	`jnl`	Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming. CoRR Alaa Eddine Chriat, Chuangchuang Sun
2022	J	`jnl`	An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers. CoRR Chuangchuang Sun
2022	A*	`conf`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. NeurIPS Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Influencing Long-Term Behavior in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob N. Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P. How
2022	J	`jnl`	Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks. IEEE Trans. Control. Netw. Syst. Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis
2022	A*	`conf`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	A*	`conf`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2021	J	`jnl`	A Unified Formulation and Nonconvex Optimization Method for Mixed-Type Decision-Making of Robotic Systems. IEEE Trans. Robotics Chuangchuang Sun, Nathaniel Kingry, Ran Dai
2021	A*	`conf`	FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. ICRA Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	J	`jnl`	ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2021	J	`jnl`	Reachability Analysis of Neural Feedback Loops. IEEE Access Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
2021	J	`jnl`	Reachability Analysis of Neural Feedback Loops. CoRR Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How
2021	—	`conf`	Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking. CDC Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun, Zhe Xu, Kyriakos G. Vamvoudakis, Ufuk Topcu, Warren E. Dixon
2021	J	`jnl`	Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking. CoRR Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun, Zhe Xu, Kyriakos G. Vamvoudakis, Ufuk Topcu, Warren E. Dixon
2020	J	`jnl`	A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How
2020	C	`conf`	Automata Guided Semi-Decentralized Multi-Agent Reinforcement Learning. ACC Chuangchuang Sun, Xiao Li, Calin Belta
2020	C	`conf`	Continuous-Time Safe Learning with Temporal Logic Constraints in Adversarial Environments. ACC Chuangchuang Sun, Kyriakos G. Vamvoudakis
2020	J	`jnl`	Optimal Composition of Heterogeneous Multi-Agent Teams for Coverage Problems with Performance Bound Guarantees. CoRR Chuangchuang Sun, Shirantha Welikala, Christos G. Cassandras
2020	J	`jnl`	Optimal composition of heterogeneous multi-agent teams for coverage problems with performance bound guarantees. Autom. Chuangchuang Sun, Shirantha Welikala, Christos G. Cassandras
2020	A	`conf`	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. IROS Chuangchuang Sun, Macheng Shen, Jonathan P. How
2020	J	`jnl`	Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. CoRR Chuangchuang Sun, Macheng Shen, Jonathan P. How
2020	J	`jnl`	Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. CoRR Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How
2019	J	`jnl`	An Iterative Rank Penalty Method for Nonconvex Quadratically Constrained Quadratic Programs. SIAM J. Control. Optim. Chuangchuang Sun, Ran Dai
2019	—	`conf`	Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CDC Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
2019	J	`jnl`	Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CoRR Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
2018	C	`conf`	An Efficient Module Detection Algorithm for Large-Scale Complex Networks. ACC Chuangchuang Sun, Ran Dai
2018	—	`conf`	Distributed Optimization for Convex Mixed-Integer Programs based on Projected Subgradient Algorithm. CDC Chuangchuang Sun, Ran Dai
2018	J	`jnl`	Weighted Network Design With Cardinality Constraints via Alternating Direction Method of Multipliers. IEEE Trans. Control. Netw. Syst. Chuangchuang Sun, Ran Dai, Mehran Mesbahi
2017	—	`conf`	A customized ADMM for rank-constrained optimization problems with approximate formulations. CDC Chuangchuang Sun, Ran Dai
2017	C	`conf`	A decomposition method for nonconvex quadratically constrained quadratic programs. ACC Chuangchuang Sun, Ran Dai
2017	J	`jnl`	Rank-constrained optimization and its applications. Autom. Chuangchuang Sun, Ran Dai
2015	—	`conf`	An iterative approach to Rank Minimization Problems. CDC Chuangchuang Sun, Ran Dai
2015	C	`conf`	Identification of network topology via quadratic optimization. ACC Chuangchuang Sun, Ran Dai
2014	—	`conf`	Distributed estimation for spatial rigid motion based on dual quaternions. CDC Yue Zu, Chuangchuang Sun, Ran Dai
2013	J	`jnl`	A Flexible Concept for Designing Multiaxis Force/Torque Sensors Using Force Closure Theorem. IEEE Trans. Instrum. Meas. Dangxiao Wang, Jing Guo, Chuangchuang Sun, Mu Xu, Yuru Zhang