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pro vyhledávání: '"Sacks, Jacob"'
A major challenge in robotics is to design robust policies which enable complex and agile behaviors in the real world. On one end of the spectrum, we have model-free reinforcement learning (MFRL), which is incredibly flexible and general but often re
Externí odkaz:
http://arxiv.org/abs/2310.04590
Autor:
Sacks, Jacob, Boots, Byron
Publikováno v:
In 2022 International Conference on Robotics and Automation (ICRA), pp. 10549-10556. IEEE, 2022
Sampling-based Model Predictive Control (MPC) is a flexible control framework that can reason about non-smooth dynamics and cost functions. Recently, significant work has focused on the use of machine learning to improve the performance of MPC, often
Externí odkaz:
http://arxiv.org/abs/2212.02603
Autor:
Sacks, Jacob, Boots, Byron
Sampling-based methods have become a cornerstone of contemporary approaches to Model Predictive Control (MPC), as they make no restrictions on the differentiability of the dynamics or cost function and are straightforward to parallelize. However, the
Externí odkaz:
http://arxiv.org/abs/2212.02587
Model predictive control (MPC) is a powerful technique for solving dynamic control tasks. In this paper, we show that there exists a close connection between MPC and online learning, an abstract theoretical framework for analyzing online decision mak
Externí odkaz:
http://arxiv.org/abs/1902.08967
We present foundations for using Model Predictive Control (MPC) as a differentiable policy class for reinforcement learning in continuous state and action spaces. This provides one way of leveraging and combining the advantages of model-free and mode
Externí odkaz:
http://arxiv.org/abs/1810.13400
Autor:
Mahajan, Divya, Kim, Joon Kyung, Sacks, Jacob, Ardalan, Adel, Kumar, Arun, Esmaeilzadeh, Hadi
Publikováno v:
Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, and Hadi Esmaeilzadeh. In-RDBMS Hardware Acceleration of Advanced Analytics. PVLDB, 11(11): 1317-1331, 2018
The data revolution is fueled by advances in machine learning, databases, and hardware design. Programmable accelerators are making their way into each of these areas independently. As such, there is a void of solutions that enables hardware accelera
Externí odkaz:
http://arxiv.org/abs/1801.06027
Autor:
Sullivan, Janessa, Skladman, Rachel, Varagur, Kaamya, Tenenbaum, Elijah, Sacks, Jacob L., Martin, Cameron, Gordon, Terry, Murphy, John, Moritz, William R., Sacks, Justin M.
Publikováno v:
Journal of Reconstructive Microsurgery; Jun2024, Vol. 40 Issue 5, p398-406, 9p
Akademický článek
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Publikováno v:
Proceedings of SPIE; June 2024, Vol. 13019 Issue: 1 p130191K-130191K-8, 1171728p
Autor:
Aikens, David M., Rehn, Henning, Thibault, Simon, Uhlendorf, Kristina, Sacks, Jacob A., Muenz, Holger, Bentley, Julie L.
Publikováno v:
Proceedings of SPIE; September 2023, Vol. 12798 Issue: 1 p127982I-127982I-4, 1151843p