Sanmit Narvekar
Sanmit Narvekar
Research Scientist, Waymo
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
Source task creation for curriculum learning
S Narvekar, J Sinapov, M Leonetti, P Stone
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
822016
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
S Narvekar, B Peng, M Leonetti, J Sinapov, ME Taylor, P Stone
Journal of Machine Learning Research 21 (121), 1-50, 2020
712020
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning.
S Narvekar, J Sinapov, P Stone
International Joint Conference on Artificial Intelligence (IJCAI), 2536-2542, 2017
612017
Learning curriculum policies for reinforcement learning
S Narvekar, P Stone
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
502019
Recsim: A configurable simulation platform for recommender systems
E Ie, C Hsu, M Mladenov, V Jain, S Narvekar, J Wang, R Wu, C Boutilier
arXiv preprint arXiv:1909.04847, 2019
452019
SlateQ: A tractable decomposition for reinforcement learning with recommendation sets
E Ie, V Jain, J Wang, S Narvekar, R Agarwal, R Wu, HT Cheng, T Chandra, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2019
432019
Learning inter-task transferability in the absence of target task samples
J Sinapov, S Narvekar, M Leonetti, P Stone
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
352015
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
E Ie, V Jain, J Wang, S Narvekar, R Agarwal, R Wu, HT Cheng, ...
arXiv preprint arXiv:1905.12767, 2019
272019
Fast and precise black and white ball detection for robocup soccer
J Menashe, J Kelle, K Genter, J Hanna, E Liebman, S Narvekar, R Zhang, ...
Robot world cup, 45-58, 2017
222017
Curriculum Learning in Reinforcement Learning.
S Narvekar
IJCAI, 5195-5196, 2017
172017
RecSim: A Configurable Simulation Platform for Recommender Systems.(2019)
E Ie, C Hsu, M Mladenov, V Jain, S Narvekar, J Wang, R Wu, C Boutilier
arXiv preprint arXiv:1909.04847, 2019
82019
UT Austin Villa: project-driven research in AI and robotics
K Genter, P MacAlpine, J Menashe, J Hannah, E Liebman, S Narvekar, ...
IEEE Intelligent Systems 31 (2), 94-101, 2016
72016
Curriculum Learning in Reinforcement Learning:(Doctoral Consortium).
S Narvekar
AAMAS, 1528-1529, 2016
42016
Generalizing Curricula for Reinforcement Learning
S Narvekar, P Stone
4th Lifelong Learning Workshop at ICML 2020, 2020
22020
Leveraging Reinforcement Learning for Human Motor Skill Acquisition
K Ghonasgi, R Mirsky, B Masetty, S Narvekar, A Haith, P Stone, ...
Social AI for Human-Robot Interactions of Human-Care Service Robots Workshop …, 2020
22020
Capturing Skill State in Curriculum Learning for Human Skill Acquisition
K Ghonasgi, R Mirsky, S Narvekar, B Masetty, AM Haith, P Stone, ...
Good Systems-Published Research, 2021
2021
Systems and Methods for Simulating a Complex Reinforcement Learning Environment
TWE Ie, SS Narvekar, CE Boutilier
US Patent App. 16/288,279, 2020
2020
UT Austin Villa 2019 Team Report
S Desai, I Durugkar, K Genter, H Goyal, J Hanna, E Liebman, J Manashe, ...
UT Austin Villa 2016 Team Description Paper for the Standard Platform League
K Genter, J Hanna, J Kelle, E Liebman, J Menashe, S Narvekar, R Shah, ...
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