Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Joshi, Sagar"'
In recent years, learning-based approaches have revolutionized motion planning. The data generation process for these methods involves caching a large number of high quality paths for different queries (start, goal pairs) in various environments. Con
Externí odkaz:
http://arxiv.org/abs/2303.06737
Publikováno v:
Volume 362: Legal Knowledge and Information Systems (2022), Frontiers in Artificial Intelligence and Applications
Clause recommendation is the problem of recommending a clause to a legal contract, given the context of the contract in question and the clause type to which the clause should belong. With not much prior work being done toward the generation of legal
Externí odkaz:
http://arxiv.org/abs/2301.10716
Generating domain-specific content such as legal clauses based on minimal user-provided information can be of significant benefit in automating legal contract generation. In this paper, we propose a controllable graph-based mechanism that can generat
Externí odkaz:
http://arxiv.org/abs/2301.06901
Autor:
Joshi, Sagar A.1 (AUTHOR), Pazhaniswamy, Sivaraj1 (AUTHOR), Plank, Christian2 (AUTHOR), Danzer, Michael A.2 (AUTHOR), Hou, Haoqing3 (AUTHOR), Cheong, Jun Young4 (AUTHOR), Breu, Josef4 (AUTHOR) josef.breu@uni-bayreuth.de, Agarwal, Seema1 (AUTHOR) agarwal@uni-bayreuth.de
Publikováno v:
Macromolecular Materials & Engineering. Sep2024, Vol. 309 Issue 9, p1-11. 11p.
Sampling-based algorithms solve the path planning problem by generating random samples in the search-space and incrementally growing a connectivity graph or a tree. Conventionally, the sampling strategy used in these algorithms is biased towards expl
Externí odkaz:
http://arxiv.org/abs/2102.13064
Anytime sampling-based methods are an attractive technique for solving kino-dynamic motion planning problems. These algorithms scale well to higher dimensions and can efficiently handle state and control constraints. However, an intelligent explorati
Externí odkaz:
http://arxiv.org/abs/2004.05241
Asymptotically optimal sampling-based planners require an intelligent exploration strategy to accelerate convergence. After an initial solution is found, a necessary condition for improvement is to generate new samples in the so-called "Informed Set"
Externí odkaz:
http://arxiv.org/abs/1910.05361
Autor:
Wolf, Erin, Yokoo, Takeshi, Browning, Travis, Mendiratta-Lala, Mishal, Rich, Nicole E., Gopal, Purva, Onyirioha, Kristeen, Joshi, Sagar, Burkholder, Daniel, Yekkaluri, Sruthi, Parikh, Neehar D., Singal, Amit G.
Publikováno v:
In Clinical Gastroenterology and Hepatology June 2023 21(6):1649-1651
Autor:
Yekkaluri, Sruthi, Yokoo, Takeshi, Fetzer, David, Browning, Travis, Rich, Nicole E., Khatri, Gaurav, Zhu, Hao, Hoshida, Yujin, Marrero, Jorge A., Yopp, Adam C., Gopal, Purva, Manwaring, Carrie, Arvind, Ashwini, Joshi, Sagar, Zaki, Timothy, Burkholder, Daniel, Parikh, Neehar D., Singal, Amit G.
Publikováno v:
In Clinical Gastroenterology and Hepatology April 2023 21(4):1091-1093
Autor:
Belli, Italo1,2 (AUTHOR) i.belli@tudelft.nl, Joshi, Sagar1,2 (AUTHOR), Prendergast, J. Micah1 (AUTHOR), Beck, Irene2 (AUTHOR), Della Santina, Cosimo1,3 (AUTHOR), Peternel, Luka1 (AUTHOR), Seth, Ajay2 (AUTHOR)
Publikováno v:
PLoS ONE. 11/30/2023, Vol. 18 Issue 11, p1-19. 19p.