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Peter A. Graf
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2020 – today
- 2024
- [j14]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133: 108498 (2024) - 2022
- [j13]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [j12]Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni:
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. IEEE Trans. Intell. Transp. Syst. 23(8): 11903-11916 (2022) - [j11]Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni:
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13(3): 1976-1987 (2022) - [i9]Jacob M. Clary, Eric B. Jones, Derek Vigil-Fowler, Christopher Chang, Peter A. Graf:
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules. CoRR abs/2208.07411 (2022) - [i8]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR abs/2210.10203 (2022) - 2021
- [j10]Jeffery M. Allen, Justin Chang, Francois L. E. Usseglio-Viretta, Peter A. Graf, Kandler A. Smith:
A Segregated Approach for Modeling the Electrochemistry in the 3-D Microstructure of Li-Ion Batteries and Its Acceleration Using Block Preconditioners. J. Sci. Comput. 86(3): 42 (2021) - [j9]Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman:
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. IEEE Trans. Smart Grid 12(1): 420-431 (2021) - [c7]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c6]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC 2021: 4155-4162 - [c5]Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni:
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC 2021: 3813-3820 - [i7]Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni:
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. CoRR abs/2105.13284 (2021) - [i6]Yi Hou, Peter A. Graf:
Decentralized Cooperative Lane Changing at Freeway Weaving Areas Using Multi-Agent Deep Reinforcement Learning. CoRR abs/2110.08124 (2021) - [i5]David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones:
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. CoRR abs/2111.04689 (2021) - 2020
- [j8]Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones:
K-spin Hamiltonian for quantum-resolvable Markov decision processes. Quantum Mach. Intell. 2(2): 1-11 (2020) - [c4]Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King:
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT 2020: 1-5 - [i4]Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones:
On the Computational Viability of Quantum Optimization for PMU Placement. CoRR abs/2001.04489 (2020) - [i3]Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones:
K-spin Hamiltonian for quantum-resolvable Markov decision processes. CoRR abs/2004.06040 (2020) - [i2]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR abs/2010.06718 (2020)
2010 – 2019
- 2019
- [c3]Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones:
Distributed Reinforcement Learning with ADMM-RL. ACC 2019: 4159-4166 - [i1]Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King:
Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR abs/1911.03019 (2019) - 2017
- [j7]Peter A. Graf, Stephen C. Billups:
MDTri: robust and efficient global mixed integer search of spaces of multiple ternary alloys. Comput. Optim. Appl. 68(3): 671-687 (2017) - 2013
- [j6]Stephen C. Billups, Jeffrey Larson, Peter A. Graf:
Derivative-Free Optimization of Expensive Functions with Computational Error Using Weighted Regression. SIAM J. Optim. 23(1): 27-53 (2013) - 2011
- [j5]Ambarish Nag, Monte Lunacek, Peter A. Graf, Christopher H. Chang:
Kinetic modeling and exploratory numerical simulation of chloroplastic starch degradation. BMC Syst. Biol. 5: 94 (2011) - [j4]Monte Lunacek, Ambarish Nag, David M. Alber, Kenny Gruchalla, Christopher H. Chang, Peter A. Graf:
Simulation, Characterization, and Optimization of Metabolic Models with the High Performance Systems Biology Toolkit. SIAM J. Sci. Comput. 33(6): 3402-3424 (2011)
2000 – 2009
- 2009
- [j3]Peter A. Graf, Wesley B. Jones, Kwiseon Kim:
A note on the virtual crystal approach to alloy optimization. J. Comput. Phys. 228(12): 4309-4311 (2009) - [c2]Daniel Korytina, Kenneth M. Anderson, Peter A. Graf, Wesley B. Jones, Glenn Murray:
Ad Hoc Structured Search over Complex, High-Throughput Data Sets, Expressed in a Restructurable, Integrated Form. IKE 2009: 143-150 - 2008
- [c1]Daniel Korytina, Peter A. Graf, Roger King, Wesley B. Jones:
Expressing high-throughput data in a restructurable, integrated form for knowledge extraction. IKE 2008: 111-115 - 2007
- [j2]Peter A. Graf, Kwiseon Kim, Wesley B. Jones, Lin-Wang Wang:
Surface passivation optimization using DIRECT. J. Comput. Phys. 224(2): 824-835 (2007) - [j1]Peter A. Graf, Wesley B. Jones:
A projection based multiscale optimization method for eigenvalue problems. J. Glob. Optim. 39(2): 235-245 (2007)
Coauthor Index
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last updated on 2024-08-05 20:18 CEST by the dblp team
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