Alleviating tuning sensitivity in Approximate Dynamic Programming. - Paul Beuchat; Angelos Georghiou; John Lygeros (ECC, 2016)

Approximate Dynamic Programming: a $ mathcal{Q}$-Function Approach. - Paul Beuchat; Angelos Georghiou; John Lygeros (CoRR, 2016)

Point-wise maximum approach to approximate dynamic programming. - Paul N. Beuchat; Joseph Warrington; John Lygeros (CDC, 2017)

Optimization based self-localization for IoT wireless sensor networks. - Paul Beuchat; Henrik Hesse; Alexander Domahidi; John Lygeros (WF-IoT, 2018)

Nonlinear Control of Quadcopters via Approximate Dynamic Programming. - Angel Romero; Paul N. Beuchat; Yvonne R. Stürz; Roy S. Smith; John Lygeros (ECC, 2019)

Enabling Optimization-Based Localization for IoT Devices. - Paul N. Beuchat; Henrik Hesse; Alexander Domahidi; John Lygeros (IEEE Internet Things J., 2019)

Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces. - Joseph Warrington; Paul N. Beuchat; John Lygeros (IEEE Trans. Autom. Control., 2019)

Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces. - Paul Nathaniel Beuchat; Angelos Georghiou; John Lygeros (IEEE Trans. Autom. Control., 2020)

Accelerated Point-Wise Maximum Approach to Approximate Dynamic Programming. - Paul Nathaniel Beuchat; Joseph Warrington; John Lygeros (IEEE Trans. Autom. Control., 2022)