Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jason Traish"'
Autor:
Nathan Sturtevant, Jason Traish, James Tulip, Tansel Uras, Sven Koenig, Ben Strasser, Adi Botea, Daniel Harabor, Steve Rabin
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 6:241-250
The Grid-Based Path Planning Competition has just completed its third iteration. The entriesused in the competition have improved significantly during this time, changing the view ofthe state of the art of grid-based pathfinding. Furthermore, the ent
Publikováno v:
SSCI
We consider the problem of land vehicles under attack from a number of unmanned aerial systems. As the number of unmanned aerial systems increase, it may become difficult for human operators to coordinate actions across vehicles in a timely manner. I
Publikováno v:
SSCI
The ability to learn without instruction is a powerful enabler for learning systems. A mechanism for this, selfplay, allows reinforcement learning to develop high performing policies without large datasets or expert knowledge. Despite these benefits,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe76eeee101a92049c1a959615d3aac6
https://hdl.handle.net/10453/157968
https://hdl.handle.net/10453/157968
Publikováno v:
Developments of Artificial Intelligence Technologies in Computation and Robotics.
Disrupted urban rail services are routinely experienced by rail passengers throughout the world. To minimize the impacts to passengers, transport providers will temporarily run rail replacement bus services that use buses to replace passenger trains.
Autor:
Jason Traish, Ziyue Zhang, Sam Ferguson, Yang Li, Richard Yi Da Xu, Chen Deng, Congzhentao Huang, Shuai Jiang
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586034
ECCV (28)
ECCV (28)
As an important computer vision task, 3d human pose estimation in a multi-camera, multi-person setting has received widespread attention and many interesting applications have been derived from it. Traditional approaches use a 3d pictorial structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2be83df3a453a7640eb895e91298080
https://hdl.handle.net/10453/149308
https://hdl.handle.net/10453/149308
Publikováno v:
IEEE Transactions on Computational Intelligence and AI in Games. 8:268-277
Cache-based path-finding algorithms lose much of their advantage in dynamic environments where fast online search algorithms are required. Jump point search (JPS) is such a fast algorithm. It works by eliminating most map nodes from evaluation during
Autor:
James Tulip, Tansel Uras, Sven Koenig, Steve Rabin, Daniel Harabor, Nathan R. Sturtevant, Jason Traish, Adi Botea, Ben Strasser
Publikováno v:
SOCS
AI Magazine; Vol 35, No 3: Fall 2014; 66-69
AI Magazine; Vol 35, No 3: Fall 2014; 66-69
While there have been many papers published on path planning in grids, there has not been significant work on comparing existing approaches, and it is difficult to evaluate new work in comparison to existing work. After creating a public repository o
Autor:
James Tulip, Jason Traish
Publikováno v:
CIG
Real Time Strategy (RTS) games are interesting from an Artificial Intelligence (AI) point of view because they involve a huge range of decision making from local tactical decisions to broad strategic considerations, all of which occur on a densely po
Publikováno v:
IJCNN
Although computer Go players are now better than humans on small board sizes, they are still a fair way from the top human players on standard board sizes. Thus the nature of human expertise is of great interest to artificial intelligence. Human play
Autor:
CE ZHENG1 cezheng@knights.ucf.edu, WENHAN WU2 wwu25@uncc.edu, CHEN CHEN1 chen.chen@crcv.ucf.edu, TAOJIANNAN YANG1 taoyang1122@knights.ucf.edu, SIJIE ZHU1 sizhu@knights.ucf.edu, JU SHEN3 jshen1@udayton.edu, KEHTARNAVAZ, NASSER1 kehtar@utdallas.edu, SHAH, MUBARAK1 shah@crcv.ucf.edu
Publikováno v:
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-37. 37p.