Predicting the Remaining Useful Life of Ball Bearing Under Dynamic Loading Using Supervised Learning. - Savinay Singh; Tanmay Agarwal; Girish Kumar; Om Prakash Yadav (IEEM, 2019)

Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration. - Tanmay Agarwal; Michael Fulton; Junaed Sattar (IROS, 2021)

Learning Urban Driving Policies using Deep Reinforcement Learning. - Tanmay Agarwal; Hitesh Arora; Jeff Schneider 001 (ITSC, 2021)

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. - Benjamin Wilson; William Qi; Tanmay Agarwal; John Lambert; Jagjeet Singh; Siddhesh Khandelwal; Bowen Pan; Ratnesh Kumar; Andrew Hartnett; Jhony Kaesemodel Pontes; Deva Ramanan; Peter Carr 001; et al. (NeurIPS Datasets and Benchmarks, 2021)

Affordance-based Reinforcement Learning for Urban Driving. - Tanmay Agarwal; Hitesh Arora; Jeff Schneider 001 (CoRR, 2021)

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CVPR, 2023)

Modeling Dynamic Environments with Scene Graph Memory. - Andrey Kurenkov; Michael Lingelbach; Tanmay Agarwal; Emily Jin; Chengshu Li 002; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001; Silvio Savarese; Roberto Martín-Martín (ICML, 2023)

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. - Ruohan Gao; Yiming Dou; Hao Li 076; Tanmay Agarwal; Jeannette Bohg; Yunzhu Li; Li Fei-Fei 001; Jiajun Wu 001 (CoRR, 2023)

Designing Energy-Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments. - Harshal Janjani; Tanmay Agarwal; M. P. Gopinath; Vimoh Sharma; S. P. Raja 001 (IEEE Trans. Comput. Soc. Syst., 2025)