Sanmit Narvekar

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Adobe Photoshop

Hypertree Decomposition

Top Venues

Publications

Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone
Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. RoboCup (2022)
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, Ashish D. Deshpande
Capturing Skill State in Curriculum Learning for Human Skill Acquisition. IROS (2021)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR (2020)
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. 21 (2020)
Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier
RecSim: A Configurable Simulation Platform for Recommender Systems. CoRR (2019)
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. IJCAI (2019)
Sanmit Narvekar, Peter Stone
Learning Curriculum Policies for Reinforcement Learning. AAMAS (2019)
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR (2019)
Sanmit Narvekar, Peter Stone
Learning Curriculum Policies for Reinforcement Learning. CoRR (2018)
Sanmit Narvekar
Curriculum Learning in Reinforcement Learning. IJCAI (2017)
Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
Fast and Precise Black and White Ball Detection for RoboCup Soccer. RoboCup (2017)
Sanmit Narvekar, Jivko Sinapov, Peter Stone
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. IJCAI (2017)
Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone
Source Task Creation for Curriculum Learning. AAMAS (2016)
Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
UT Austin Villa: Project-Driven Research in AI and Robotics. IEEE Intell. Syst. 31 (2) (2016)
Sanmit Narvekar
Curriculum Learning in Reinforcement Learning: (Doctoral Consortium). AAMAS (2016)
Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone
Learning Inter-Task Transferability in the Absence of Target Task Samples. AAMAS (2015)