Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Aswin Raghavan"'
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::036018c7a4ebaf09e61ba1d46f5b4c3c
https://doi.org/10.1016/j.neunet.2023.01.007
https://doi.org/10.1016/j.neunet.2023.01.007
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1802-1808
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by sets of discrete variables. Prior work on SDP has considered only the cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a92d247631e5a189ca5fc5a60e7b1a28
https://doi.org/10.1609/aaai.v26i1.8364
https://doi.org/10.1609/aaai.v26i1.8364
Autor:
Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael Isnardi, David Zhang, Michael Piacentino
In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge (HyDRATE) using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC (free of floating-point MultiplyACcumulate o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0c7349e7b90854df9a158e7745ad3f
http://arxiv.org/abs/2206.05128
http://arxiv.org/abs/2206.05128
Autor:
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco Gallardo, Tyler Hayes, Cameron Taylor, Mustafa Burak Gurbuz, James Smith, Sahana Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael Piacentino, Jesse Hostetler, Aswin Raghavan
As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adapt in dynamically-changing environments, becoming Lifelong Learning Mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::416566d689b9309835376f02f4c78719
Autor:
David A. Salter, Aswin Raghavan, Timothy J. Meo, Mohamed R. Amer, Chris Kim, Amir Tamrakar, Alex Tozzo
Publikováno v:
AI Communications. 32:59-76
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b9ef89bedcf63e7cc390553ac4a500b
https://doi.org/10.3233/aic-180605
https://doi.org/10.3233/aic-180605
Publikováno v:
IJCAI
This paper poses the planning problem faced by the dispatcher responding to urban emergencies as a Hybrid (Discrete and Continuous) State and Action Markov Decision Process (HSA-MDP). We evaluate the performance of three online planning algorithms ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3481c3bea8733840f512104eb117e3d6
https://doi.org/10.24963/ijcai.2018/656
https://doi.org/10.24963/ijcai.2018/656
Publikováno v:
IJCAI
We present a new collaborative visual storytelling platform, Aesop, for direction and animation. Aesop consists of a language parser, human gesture monitoring, composition graphs, dialogue state manager, and an interactive 3D animation software. Aeso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf4f785127bff03740dc3bfa035880f3
https://doi.org/10.24963/ijcai.2018/857
https://doi.org/10.24963/ijcai.2018/857
Publikováno v:
2018 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2).
In order to achieve high processing efficiencies, next generation computer architecture designs need an effective Artificial Intelligence (AI)-framework to learn large-scale processor interactions. In this short paper, we present Deep Temporal Models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674034be109b69b0c78d8ea8c4acc03e
https://doi.org/10.1109/emc2.2018.00014
https://doi.org/10.1109/emc2.2018.00014
Publikováno v:
TrustCom/BigDataSE
Controllers of security-critical cyber-physical systems, like the power grid, are a very important class of computer systems. Attacks against the control code of a power-grid system, especially zero-day attacks, can be catastrophic. Earlier detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8b850df329c82d2b2c519ac8e54e9e
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
Hybrid (mixed discrete and continuous) state and action Markov Decision Processes (HSA-MDPs) provide an expressive formalism for modeling stochastic and concurrent sequential decision-making problems. Existing solvers for HSA-MDPs are either limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3451ad86e36a53f9ef30a82185d8ce7d
https://doi.org/10.1609/aaai.v31i1.11056
https://doi.org/10.1609/aaai.v31i1.11056