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ORCIDArvind U. Raghunathan
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2020 – today
- 2020
[c20]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA 2020: 5094-5100- [i8]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR abs/2001.08092 (2020)
2010 – 2019
- 2019
- [j8]David Bergman
, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan:
On the Minimum Chordal Completion Polytope. Oper. Res. 67(2): 532-547 (2019) - [c19]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRL 2019: 945-954 - [c18]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Heat Exchanger Circuitry Design by Decision Diagrams. CPAIOR 2019: 461-471 - [c17]Thiago Serra, Arvind U. Raghunathan, David Bergman, John N. Hooker, Shingo Kobori:
Last-Mile Scheduling Under Uncertainty. CPAIOR 2019: 519-528 - [c16]Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha:
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML 2019: 5291-5300 - [i7]Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha:
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR abs/1905.05927 (2019) - [i6]Thiago Serra, Teng Huang, Arvind U. Raghunathan, David Bergman:
Template-based Minor Embedding for Adiabatic Quantum Optimization. CoRR abs/1910.02179 (2019) - [i5]David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan:
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. CoRR abs/1911.09461 (2019) - [i4]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRR abs/1912.11912 (2019) - 2018
- [j7]Arvind U. Raghunathan, Lorenz T. Biegler:
LDLT Direction Interior Point Method for Semidefinite Programming. SIAM J. Optim. 28(1): 693-734 (2018) - [c15]Arvind U. Raghunathan, David Bergman, John N. Hooker, Thiago Serra, Shingo Kobori:
The Integrated Last-Mile Transportation Problem (ILMTP). ICAPS 2018: 388-398 - [c14]Ankush Chakrabarty, Arvind U. Raghunathan, Stefano Di Cairano, Claus Danielson:
Data-Driven Estimation of Backward Reachable and Invariant Sets for Unmodeled Systems via Active Learning. CDC 2018: 372-377 - 2017
- [j6]Frank E. Curtis, Arvind U. Raghunathan:
Solving nearly-separable quadratic optimization problems as nonsmooth equations. Comput. Optim. Appl. 67(2): 317-360 (2017) - [c13]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. ICAPS 2017: 233-241 - [c12]Apurba Kumar Das, Arvind U. Raghunathan, Umesh Vaidya:
Transfer operator-based approach for optimal stabilization of stochastic systems. ACC 2017: 1759-1764 - [i3]Nikolaos Ploskas, Christopher R. Laughman, Arvind U. Raghunathan, Nikolaos V. Sahinidis:
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization. CoRR abs/1705.10437 (2017) - [i2]Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski:
Submodular Function Maximization for Group Elevator Scheduling. CoRR abs/1707.00617 (2017) - 2016
- [c11]Arvind U. Raghunathan, Andrew V. Knyazev:
Degeneracy in maximal clique decomposition for Semidefinite Programs. ACC 2016: 5605-5611 - [i1]David Bergman, Carlos Henrique Cardonha, André Augusto Ciré, Arvind U. Raghunathan:
On the Minimum Chordal Completion Polytope. CoRR abs/1612.01966 (2016) - 2015
- [c10]Jia Kang, Arvind U. Raghunathan, Stefano Di Cairano:
Decomposition via ADMM for scenario-based Model Predictive Control. ACC 2015: 1246-1251 - [c9]David Bergman, Arvind U. Raghunathan:
A Benders Approach to the Minimum Chordal Completion Problem. CPAIOR 2015: 47-64 - 2014
- [c8]Arvind U. Raghunathan, Stefano Di Cairano:
Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection. ACC 2014: 4324-4329 - [c7]Arvind U. Raghunathan, Stefano Di Cairano:
Infeasibility detection in alternating direction method of multipliers for convex quadratic programs. CDC 2014: 5819-5824 - 2013
- [j5]Arvind U. Raghunathan:
Global Optimization of Nonlinear Network Design. SIAM J. Optim. 23(1): 268-295 (2013) - [c6]Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler:
Global optimization of multi-period optimal power flow. ACC 2013: 1157-1164 - [c5]Lijie Bai, Arvind U. Raghunathan:
Semismooth equation approach to Network Utility Maximization (NUM). ACC 2013: 4795-4801 - 2012
- [c4]Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler:
Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference 2012: 609-616 - [c3]Arvind U. Raghunathan, Sudha Krishnamurthy:
A distributed anytime algorithm for maximizing occupant comfort. ACC 2012: 1059-1066
2000 – 2009
- 2008
- [c2]Arvind U. Raghunathan, Umesh Vaidya:
Optimal stabilization using Lyapunov measure. ACC 2008: 1746-1751 - [c1]Amit Diwadkar, Umesh Vaidya, Arvind U. Raghunathan:
Lyapunov measure and control of periodic orbit. EIT 2008: 48-53 - 2006
- [j4]Arvind U. Raghunathan, Jose Ricardo Pérez-Correa, Eduardo Agosin, Lorenz T. Biegler:
Parameter estimation in metabolic flux balance models for batch fermentation - Formulation & Solution using Differential Variational Inequalities (DVIs). Ann. Oper. Res. 148(1): 251-270 (2006) - 2005
- [j3]Arvind U. Raghunathan, Lorenz T. Biegler:
An Interior Point Method for Mathematical Programs with Complementarity Constraints (MPCCs). SIAM J. Optim. 15(3): 720-750 (2005) - 2004
- [j2]Arvind U. Raghunathan, María Soledad Díaz, Lorenz T. Biegler:
An MPEC formulation for dynamic optimization of distillation operations. Comput. Chem. Eng. 28(10): 2037-2052 (2004) - 2003
- [j1]Arvind U. Raghunathan, Lorenz T. Biegler:
Mathematical programs with equilibrium constraints (MPECs) in process engineering. Comput. Chem. Eng. 27(10): 1381-1392 (2003)
Coauthor Index
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