Zobrazeno 1 - 10
of 881
pro vyhledávání: '"Shoshtari, A"'
Reinforcement learning (RL) on high-dimensional and complex problems relies on abstraction for improved efficiency and generalization. In this paper, we study abstraction in the continuous-control setting, and extend the definition of Markov decision
Externí odkaz:
http://arxiv.org/abs/2305.05666
Autor:
Tessa Ladner, Anna J. Black, Homayoun Zargar, Jonathan L. Wright, Andrew C. Thorpe, Todd M. Morgan, Jeff M. Holzbeierlein, Michael S. Cookson, Niels-Erik Jacobsen, Adrian S. Fairey, Colin P. N. Dinney, Maria C. Mir, Laura-Maria Krabbe, Jeffrey S. Montgomery, Nikhil Vasdev, Evan Y. Yu, Evanguelos Xylinas, Andrew J. Stephenson, Jay B. Shah, Siamak Daneshmand, Kamran Zargar-Shoshtari, Philippe E. Spiess, Laura S. Mertens, Bas W. G. van Rhijn, Petros Grivas, Wassim Kassouf, Marc A. Dall’Era, Srikala S. Sridhar, Jonathan S. McGrath, Jonathan Aning, Shahrokh F. Shariat, Trinity J. Bivalacqua, Scott A. North, Daniel A. Barocas, Yair Lotan, Peter C. Black
Publikováno v:
Société Internationale d’Urologie Journal, Vol 5, Iss 3, Pp 202-213 (2024)
Objectives: Perioperative blood transfusion (PBT) has been associated with worse survival after radical cystectomy (RC) in patients with muscle-invasive bladder cancer (MIBC). Here, we evaluated the association between PBT and survival after RC that
Externí odkaz:
https://doaj.org/article/014c07b617934d568005c539c0294ffb
Publikováno v:
Journal of Agricultural Machinery, Vol 14, Iss 2, Pp 163-176 (2024)
IntroductionThe growing consumer demand for high-quality products has led to the development of new technologies for assessing the quality of agricultural products. Iran is the 9th largest orange producer in the world. Every year, large quantities of
Externí odkaz:
https://doaj.org/article/27b7525fac9a4bc29f02cc3051267215
Publikováno v:
Archives of Razi Institute, Vol 66, Iss 2, Pp 75-80 (2011)
During 2009-10, real time RT-PCR and conventional RT-PCR techniques Used for detecting BTVs RNA in310 blood samples. For real time and gel based RT-PCR segment-1 and segment-10 selected as conservegenes to search any BTV strains. Using these methods,
Externí odkaz:
https://doaj.org/article/77626d5173984482b6273ba426a3d932
Autor:
Rezaei-Shoshtari, Sahand, Morissette, Charlotte, Hogan, Francois Robert, Dudek, Gregory, Meger, David
In this paper, hypernetworks are trained to generate behaviors across a range of unseen task conditions, via a novel TD-based training objective and data from a set of near-optimal RL solutions for training tasks. This work relates to meta RL, contex
Externí odkaz:
http://arxiv.org/abs/2211.15457
Abstraction has been widely studied as a way to improve the efficiency and generalization of reinforcement learning algorithms. In this paper, we study abstraction in the continuous-control setting. We extend the definition of MDP homomorphisms to en
Externí odkaz:
http://arxiv.org/abs/2209.07364
Publikováno v:
In Microchemical Journal June 2024 201
Autor:
Rezaei-Shoshtari, Sahand, Hogan, Francois Robert, Jenkin, Michael, Meger, David, Dudek, Gregory
Predicting the future interaction of objects when they come into contact with their environment is key for autonomous agents to take intelligent and anticipatory actions. This paper presents a perception framework that fuses visual and tactile feedba
Externí odkaz:
http://arxiv.org/abs/2101.04454
Autor:
Hogan, Francois Robert, Jenkin, Michael, Rezaei-Shoshtari, Sahand, Girdhar, Yogesh, Meger, David, Dudek, Gregory
We introduce a new class of vision-based sensor and associated algorithmic processes that combine visual imaging with high-resolution tactile sending, all in a uniform hardware and computational architecture. We demonstrate the sensor's efficacy for
Externí odkaz:
http://arxiv.org/abs/2011.09552
Utilization of latent space to capture a lower-dimensional representation of a complex dynamics model is explored in this work. The targeted application is of a robotic manipulator executing a complex environment interaction task, in particular, cutt
Externí odkaz:
http://arxiv.org/abs/2007.11167