Learning Inter-Task Transferability in the Absence of Target Task Samples. - Jivko Sinapov; Sanmit Narvekar; Matteo Leonetti; Peter Stone 001 (AAMAS, 2015)

Curriculum Learning in Reinforcement Learning: (Doctoral Consortium). - Sanmit Narvekar (AAMAS, 2016)

Source Task Creation for Curriculum Learning. - Sanmit Narvekar; Jivko Sinapov; Matteo Leonetti; Peter Stone 001 (AAMAS, 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 001 (IEEE Intell. Syst., 2016)

Curriculum Learning in Reinforcement Learning. - Sanmit Narvekar (IJCAI, 2017)

Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. - Sanmit Narvekar; Jivko Sinapov; Peter Stone 001 (IJCAI, 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 001 (RoboCup, 2017)

Learning Curriculum Policies for Reinforcement Learning. - Sanmit Narvekar; Peter Stone 001 (AAMAS, 2019)

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Tushar Chandra; Craig Boutilier (IJCAI, 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 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

RecSim: A Configurable Simulation Platform for Recommender Systems. - Eugene Ie; Chih-Wei Hsu; Martin Mladenov; Vihan Jain; Sanmit Narvekar; Jing Wang; Rui Wu 020; Craig Boutilier (CoRR, 2019)

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. - Sanmit Narvekar; Bei Peng 001; Matteo Leonetti; Jivko Sinapov; Matthew E. Taylor; Peter Stone 001 (J. Mach. Learn. Res., 2020)

Capturing Skill State in Curriculum Learning for Human Skill Acquisition. - Keya Ghonasgi; Reuth Mirsky; Sanmit Narvekar; Bharath Masetty; Adrian M. Haith; Peter Stone 001; Ashish D. Deshpande (IROS, 2021)

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 001 (RoboCup, 2022)