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Paul Beuchat

Paul N. Beuchat – Paul Nathaniel Beuchat

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2020 – today

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2022
[j4]
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Paul Nathaniel Beuchat, Joseph Warrington, John Lygeros:
Accelerated Point-Wise Maximum Approach to Approximate Dynamic Programming. IEEE Trans. Autom. Control. 67(1): 251-266 (2022)
2020
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Paul Nathaniel Beuchat, Angelos Georghiou, John Lygeros:
Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces. IEEE Trans. Autom. Control. 65(1): 143-158 (2020)

2010 – 2019

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2019
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Paul N. Beuchat, Henrik Hesse, Alexander Domahidi, John Lygeros:
Enabling Optimization-Based Localization for IoT Devices. IEEE Internet Things J. 6(3): 5639-5650 (2019)
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Joseph Warrington, Paul N. Beuchat, John Lygeros:
Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces. IEEE Trans. Autom. Control. 64(12): 5012-5023 (2019)
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Angel Romero, Paul N. Beuchat, Yvonne R. Stürz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. ECC 2019: 3752-3759
[i3]
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Paul N. Beuchat, Joseph Warrington, John Lygeros:
Accelerated point-wise maximum approach to approximate dynamic programming. CoRR abs/1901.03619 (2019)
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Angel Romero, Paul N. Beuchat, Yvonne R. Sturz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. CoRR abs/1902.06551 (2019)
2018
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Paul Beuchat, Henrik Hesse, Alexander Domahidi, John Lygeros:
Optimization based self-localization for IoT wireless sensor networks. WF-IoT 2018: 712-717
2017
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Paul N. Beuchat, Joseph Warrington, John Lygeros:
Point-wise maximum approach to approximate dynamic programming. CDC 2017: 3694-3701
2016
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Paul Beuchat, Angelos Georghiou, John Lygeros:
Alleviating tuning sensitivity in Approximate Dynamic Programming. ECC 2016: 1616-1622
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Paul Beuchat, Angelos Georghiou, John Lygeros:
Approximate Dynamic Programming: a $\mathcal{Q}$-Function Approach. CoRR abs/1602.07273 (2016)

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