Georgios C. Chasparis, Ph.D.
Affiliations: | 2008 | University of California, Los Angeles, Los Angeles, CA |
Area:
Mechanical EngineeringGoogle:
"Georgios Chasparis"Parents
Sign in to add mentorJeff S. Shamma | grad student | 2008 | UCLA | |
(Distributed learning and efficient outcomes in uncertain and dynamic environments.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Chasparis GC. (2020) Corrections to “Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games” [Nov 19 4454-4469] Ieee Transactions On Automatic Control. 65: 1822-1822 |
Chasparis GC, Pichler M, Spreitzhofer J, et al. (2019) A cooperative demand-response framework for day-ahead optimization in battery pools Energy Informatics. 2 |
Chasparis GC. (2019) Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games Ieee Transactions On Automatic Control. 64: 4454-4469 |
Chasparis GC. (2019) Measurement-based efficient resource allocation with demand-side adjustments Automatica. 106: 274-283 |
Chasparis GC, Natschläger T. (2017) Supervisory output prediction for bilinear systems by reinforcement learning Iet Control Theory & Applications. 11: 1514-1521 |
Grubinger T, Chasparis GC, Natschläger T. (2017) Generalized online transfer learning for climate control in residential buildings Energy and Buildings. 139: 63-71 |
Chasparis GC, Rossbory M. (2017) Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning International Journal of Parallel Programming. 47: 24-38 |
Chasparis GC, Maggio M, Bini E, et al. (2016) Design and implementation of distributed resource management for time-sensitive applications Automatica. 64: 44-53 |
Chasparis GC. (2015) Reinforcement-learning-based efficient resource allocation with demand-side adjustments 2015 European Control Conference, Ecc 2015. 3066-3072 |
Chasparis GC, Shamma JS, Rantzer A. (2015) Nonconvergence to saddle boundary points under perturbed reinforcement learning International Journal of Game Theory. 44: 667-699 |