Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Raman Goyal, Suman Chakravorty, , | Summary: This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of the iterative linear quadratic regulator (iLQR) to design closed-loop feedback control for high-dimensional dynamical […]


Continue.. Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator

The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into Focus

Posted by dbos Peking

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the cosmic X-ray background (CXB), astronomers have strived to understand the accreting supermassive black holes (SMBHs) contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study […]


Continue.. The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into Focus

The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

Posted by dbos Peking

Kavli Affiliate: Claudio Ricci | First 5 Authors: Francesca Civano, Xiurui Zhao, Peter Boorman, Stefano Marchesi, Tonima Ananna | Summary: Since the discovery of the Cosmic X-ray Background, astronomers have strived to understand the accreting super massive black holes contributing to its peak in the 10-40 keV band. Existing soft X-ray telescopes could study this […]


Continue.. The High Energy X-ray Probe (HEX-P): Bringing the Cosmic X-ray Background into focus

The High Energy X-ray Probe (HEX-P): Supernova remnants, pulsar wind nebulae, and nuclear astrophysics

Posted by dbos MIT

Kavli Affiliate: Melania Nynka | First 5 Authors: Stephen Reynolds, Hongjun An, Moaz Abdelmaguid, Jason Alford, Chris L. Fryer | Summary: HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging ($<10"$ full width at half maximum) and broad spectral coverage (0.2–80 keV) with an effective area far superior to current […]


Continue.. The High Energy X-ray Probe (HEX-P): Supernova remnants, pulsar wind nebulae, and nuclear astrophysics

The High Energy X-ray Probe (HEX-P): Supernova remnants, pulsar wind nebulae, and nuclear astrophysics

Posted by dbos MIT

Kavli Affiliate: Melania Nynka | First 5 Authors: Stephen Reynolds, Hongjun An, Moaz Abdelmaguid, Jason Alford, Chris L. Fryer | Summary: HEX-P is a probe-class mission concept that will combine high spatial resolution X-ray imaging ($<10"$ full width at half maximum) and broad spectral coverage (0.2–80 keV) with an effective area far superior to current […]


Continue.. The High Energy X-ray Probe (HEX-P): Supernova remnants, pulsar wind nebulae, and nuclear astrophysics

X-Ray Polarized View on the Accretion Geometry in the X-Ray Binary Circinus X-1

Posted by dbos MIT

Kavli Affiliate: Herman L. Marshall | First 5 Authors: John Rankin, Fabio La Monaca, Alessandro Di Marco, Juri Poutanen, Anna Bobrikova | Summary: Cir X-1 is a neutron star X-ray binary characterized by strong variations in flux during its eccentric $sim$16.6 days orbit. There are also strong variations in the spectral state, and historically it […]


Continue.. X-Ray Polarized View on the Accretion Geometry in the X-Ray Binary Circinus X-1

X-Ray Polarized View on the Accretion Geometry in the X-Ray Binary Circinus X-1

Posted by dbos MIT

Kavli Affiliate: Herman L. Marshall | First 5 Authors: John Rankin, Fabio La Monaca, Alessandro Di Marco, Juri Poutanen, Anna Bobrikova | Summary: Cir X-1 is a neutron star X-ray binary characterized by strong variations in flux during its eccentric $sim$16.6 days orbit. There are also strong variations in the spectral state, and historically it […]


Continue.. X-Ray Polarized View on the Accretion Geometry in the X-Ray Binary Circinus X-1

Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen | Summary: Online learning to rank (ONL2R) is a foundational problem for recommender systems and has received increasing attention in recent years. Among the existing approaches for ONL2R, a natural modeling architecture is the multi-armed bandit framework […]


Continue.. Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments

End-to-End Modeling of the TDM Readout System for CMB-S4

Posted by dbos Stanford

Kavli Affiliate: Kent Irwin | First 5 Authors: David C. Goldfinger, Zeeshan Ahmed, Darcy R. Barron, W. Bertrand Doriese, Malcolm Durkin | Summary: The CMB-S4 experiment is developing next-generation ground-based microwave telescopes to observe the Cosmic Microwave Background with unprecedented sensitivity. This will require an order of magnitude increase in the 100 mK detector count, […]


Continue.. End-to-End Modeling of the TDM Readout System for CMB-S4

End-to-End Modeling of the TDM Readout System for CMB-S4

Posted by dbos Stanford

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: David C. Goldfinger, Zeeshan Ahmed, Darcy R. Barron, W. Bertrand Doriese, Malcolm Durkin | Summary: The CMB-S4 experiment is developing next-generation ground-based microwave telescopes to observe the Cosmic Microwave Background with unprecedented sensitivity. This will require an order of magnitude increase in the 100 mK detector count, […]


Continue.. End-to-End Modeling of the TDM Readout System for CMB-S4