Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Akshat Kumar"'
Publikováno v:
In Journal of Energy Storage January 2023 57
Autor:
Vinita Elizabeth Mani, Rabindra Kumar, Akshat Kumar Srivastava, Zubair Sarkar, Gutti Nagendra Babu, Ruchika Tandon, Vimal Kumar Paliwal, Sanjeev Jha
Publikováno v:
Cureus.
Publikováno v:
J Am Med Inform Assoc
Objectives Scanned documents (SDs), while common in electronic health records and potentially rich in clinically relevant information, rarely fit well with clinician workflow. Here, we identify scanned imaging reports requiring follow-up with high re
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031332708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807f245ecbaf9be8640f8a118ea5b243
https://doi.org/10.1007/978-3-031-33271-5_6
https://doi.org/10.1007/978-3-031-33271-5_6
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811959356
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c1a3afbf747a842d772e29917c9f949
https://doi.org/10.1007/978-981-19-5936-3_2
https://doi.org/10.1007/978-981-19-5936-3_2
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2864a9d2617053f0f1124d874e125e56
https://doi.org/10.1007/978-3-031-26412-2_12
https://doi.org/10.1007/978-3-031-26412-2_12
Publikováno v:
Proceedings of the Indian History Congress, 2015 Jan 01. 76, 759-768.
Externí odkaz:
http://www.jstor.org/stable/44156644
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 31:542-550
Sequential multiagent decision-making under partial observability and uncertainty poses several challenges. Although multiagent reinforcement learning (MARL) approaches have increased the scalability, addressing combinatorial domains is still challen
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 31:588-596
Many real world systems involve interaction among large number of agents to achieve a common goal, for example, air traffic control. Several model-free RL algorithms have been proposed for such settings. A key limitation is that the empirical reward
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32