Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sanmit Narvekar"'
Autor:
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone
Publikováno v:
RoboCup 2022: ISBN: 9783031284687
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d231db503f30b81ecf5f434b6f211bf9
https://doi.org/10.1007/978-3-031-28469-4_6
https://doi.org/10.1007/978-3-031-28469-4_6
Autor:
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5df71875d00e0d9ae077bd47209ecd
https://doi.org/10.1109/iros51168.2021.9636850
https://doi.org/10.1109/iros51168.2021.9636850
Autor:
Ritesh Agarwal, Craig Boutilier, Sanmit Narvekar, Eugene Ie, Jing Wang, Rui Wu, Vihan Jain, Tushar Deepak Chandra, Heng-Tze Cheng
Publikováno v:
IJCAI
Reinforcement learning methods for recommender systems optimize recommendations for long-term user engagement. However, since users are often presented with slates of multiple items---which may have interacting effects on user choice---methods are re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9848abe5d124b8332994d556a9dba8ec
https://doi.org/10.24963/ijcai.2019/360
https://doi.org/10.24963/ijcai.2019/360
Autor:
Ruohan Zhang, Josiah Hannah, Peter Stone, Elad Liebman, Katie Genter, Jacob Menashe, Patrick MacAlpine, Sanmit Narvekar
Publikováno v:
IEEE Intelligent Systems. 31:94-101
UT Austin Villa is a robot soccer team that has competed in the annual RoboCup soccer competitions since 2003. The team has won several championships and has inspired research contributions spanning many topics in robotics and artificial intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d77abb1aa0b1a1c288578a76af68dae8
https://doi.org/10.1109/mis.2016.35
https://doi.org/10.1109/mis.2016.35
Publikováno v:
IJCAI
Transfer learning is a method where an agent reuses knowledge learned in a source task to improve learning on a target task. Recent work has shown that transfer learning can be extended to the idea of curriculum learning, where the agent incrementall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d9192be3fd6263917c84b0c460fa69a
https://doi.org/10.24963/ijcai.2017/353
https://doi.org/10.24963/ijcai.2017/353