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Chuangchuang Sun
Chuangchuang Sun
Assistant Professor, Mississippi State University
Bestätigte E-Mail-Adresse bei ae.msstate.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Rank-constrained optimization and its applications
C Sun, R Dai
Automatica 82, 128-136, 2017
642017
A policy gradient algorithm for learning to learn in multiagent reinforcement learning
DK Kim, M Liu, MD Riemer, C Sun, M Abdulhai, G Habibi, S Lopez-Cot, ...
International Conference on Machine Learning, 5541-5550, 2021
622021
Reachability analysis of neural feedback loops
M Everett, G Habibi, C Sun, JP How
IEEE Access 9, 163938-163953, 2021
572021
Two approaches for path planning of unmanned aerial vehicles with avoidance zones
C Sun, YC Liu, R Dai, D Grymin
Journal of Guidance, Control, and Dynamics 40 (8), 2076-2083, 2017
542017
Spacecraft attitude control under constrained zones via quadratically constrained quadratic programming
C Sun, R Dai
AIAA guidance, navigation, and control conference, 2010, 2015
342015
Path planning of spatial rigid motion with constrained attitude
R Dai, C Sun
Journal of Guidance, Control, and Dynamics 38 (8), 1356-1365, 2015
332015
Scaling up multiagent reinforcement learning for robotic systems: Learn an adaptive sparse communication graph
C Sun, M Shen, JP How
2020 IEEE/RSJ international conference on intelligent robots and systems …, 2020
252020
Reliability-based vibro-acoustic microstructural topology optimization
J Du, C Sun
Structural and Multidisciplinary Optimization 55, 1195-1215, 2017
242017
Romax: Certifiably robust deep multiagent reinforcement learning via convex relaxation
C Sun, DK Kim, JP How
2022 International Conference on Robotics and Automation (ICRA), 5503-5510, 2022
202022
Optimal composition of heterogeneous multi-agent teams for coverage problems with performance bound guarantees
C Sun, S Welikala, CG Cassandras
Automatica 117, 108961, 2020
192020
Influencing long-term behavior in multiagent reinforcement learning
DK Kim, M Riemer, M Liu, J Foerster, M Everett, C Sun, G Tesauro, ...
Advances in Neural Information Processing Systems 35, 18808-18821, 2022
182022
An iterative approach to rank minimization problems
C Sun, R Dai
2015 54th IEEE Conference on Decision and Control (CDC), 3317-3323, 2015
182015
Continuous-time safe learning with temporal logic constraints in adversarial environments
C Sun, KG Vamvoudakis
2020 American Control Conference (ACC), 4786-4791, 2020
162020
An iterative rank penalty method for nonconvex quadratically constrained quadratic programs
C Sun, R Dai
SIAM Journal on Control and Optimization 57 (6), 3749-3766, 2019
162019
A flexible concept for designing multiaxis force/torque sensors using force closure theorem
D Wang, J Guo, C Sun, M Xu, Y Zhang
IEEE Transactions on Instrumentation and Measurement 62 (7), 1951-1959, 2013
162013
A unified formulation and nonconvex optimization method for mixed-type decision-making of robotic systems
C Sun, N Kingry, R Dai
IEEE Transactions on Robotics 37 (3), 831-846, 2020
152020
Weighted network design with cardinality constraints via alternating direction method of multipliers
C Sun, R Dai, M Mesbahi
IEEE Transactions on Control of Network Systems 5 (4), 2073-2084, 2018
142018
Automata guided semi-decentralized multi-agent reinforcement learning
C Sun, X Li, C Belta
2020 American Control Conference (ACC), 3900-3905, 2020
132020
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data*
S Wollenstein-Betech, C Sun, J Zhang, IC Paschalidis
2019 IEEE 58th Conference on Decision and Control (CDC), 5113-5118, 2019
102019
Multi-phase spacecraft mission optimization by quadratically constrained quadratic programming
C Sun, R Dai, P Lu
AIAA SciTech 2019 forum, 1667, 2019
102019
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