Sanmit Narvekar

According to our database, Sanmit Narvekar authored at least 14 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer.

Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone

Proceedings of the RoboCup 2022:, 2022

2021

Capturing Skill State in Curriculum Learning for Human Skill Acquisition.

Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, Ashish D. Deshpande

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey.

Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone

J. Mach. Learn. Res., 2020

2019

RecSim: A Configurable Simulation Platform for Recommender Systems.

Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier

CoRR, 2019

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology.

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

CoRR, 2019

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets.

Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Curriculum Policies for Reinforcement Learning.

Sanmit Narvekar, Peter Stone

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2017

Fast and Precise Black and White Ball Detection for RoboCup Soccer.

Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone

Proceedings of the RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]., 2017

Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning.

Sanmit Narvekar, Jivko Sinapov, Peter Stone

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Curriculum Learning in Reinforcement Learning.

Sanmit Narvekar

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

UT Austin Villa: Project-Driven Research in AI and Robotics.

Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone

IEEE Intell. Syst., 2016

Source Task Creation for Curriculum Learning.

Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Curriculum Learning in Reinforcement Learning: (Doctoral Consortium).

Sanmit Narvekar

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Learning Inter-Task Transferability in the Absence of Target Task Samples.

Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015