Zobrazeno 1 - 10
of 2 142
pro vyhledávání: '"Jordan P. M."'
Previous simulations of cataclysmic variables studied either the quiescence, or the outburst state in multiple dimensions or they simulated complete outburst cycles in one dimension using simplified models for the gravitational torques. We self-consi
Externí odkaz:
http://arxiv.org/abs/2407.16610
Novel reinforcement learning algorithms, or improvements on existing ones, are commonly justified by evaluating their performance on benchmark environments and are compared to an ever-changing set of standard algorithms. However, despite numerous cal
Externí odkaz:
http://arxiv.org/abs/2406.16241
This paper investigates a new approach to model-based reinforcement learning using background planning: mixing (approximate) dynamic programming updates and model-free updates, similar to the Dyna architecture. Background planning with learned models
Externí odkaz:
http://arxiv.org/abs/2406.01562
Autor:
Revolinsky, Ryan A., Swenson, Christopher J., Jordan, Nicholas M., Lau, Y. Y., Gilgenbach, Ronald M.
The Brillouin flow is a rectilinear, sheared electron fluid flow in a crossed electric field (E) and magnetic field (B), in the E x B direction with zero flow velocity and zero electric field at the surface with which the flow is in contact. It is br
Externí odkaz:
http://arxiv.org/abs/2404.11047
We introduce an ultra-sensitive interferometric protocol that combines weak value amplification (WVA) with traditional interferometry. This WVA+interferometry protocol uses weak value amplification of the relative delay between two paths to enhance t
Externí odkaz:
http://arxiv.org/abs/2404.00531
Autor:
Rometsch, Thomas, Jordan, Lucas M., Moldenhauer, Tobias W., Wehner, Dennis, Restrepo, Steven Rendon, Müller, Tobias W. A., Picogna, Giovanni, Kley, Wilhelm, Dullemond, Cornelis P.
Context: Planet-disk interactions play a crucial role in the understanding of planet formation and disk evolution. There are multiple numerical tools available to simulate these interactions, including the often-used FARGO code and its variants. Many
Externí odkaz:
http://arxiv.org/abs/2401.16203
Autor:
Gupta, Dhawal, Jordan, Scott M., Chaudhari, Shreyas, Liu, Bo, Thomas, Philip S., da Silva, Bruno Castro
In this paper, we introduce a fresh perspective on the challenges of credit assignment and policy evaluation. First, we delve into the nuances of eligibility traces and explore instances where their updates may result in unexpected credit assignment
Externí odkaz:
http://arxiv.org/abs/2312.12972
Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task. This is challenging since it requires the identification of reward structures that are not sparse and that avoid inadve
Externí odkaz:
http://arxiv.org/abs/2310.19007
We investigate the propagation of acoustic singular surfaces, specifically, linear shock waves and nonlinear acceleration waves, in a class of inhomogeneous gases whose ambient mass density varies exponentially. Employing the mathematical tools of si
Externí odkaz:
http://arxiv.org/abs/2306.04611
Autor:
Kostas, James E., Jordan, Scott M., Chandak, Yash, Theocharous, Georgios, Gupta, Dhawal, White, Martha, da Silva, Bruno Castro, Thomas, Philip S.
Coagent networks for reinforcement learning (RL) [Thomas and Barto, 2011] provide a powerful and flexible framework for deriving principled learning rules for arbitrary stochastic neural networks. The coagent framework offers an alternative to backpr
Externí odkaz:
http://arxiv.org/abs/2305.09838