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2020 – today
- 2024
[i6]Wennie Tabib, John Stecklein, Caleb McDowell, Kshitij Goel, Felix Jonathan, Abhishek Rathod, Meghan Kokoski, Edsel Burkholder, Brian Wallace, Luis Ernesto Navarro-Serment, Nikhil Angad Bakshi, Tejus Gupta, Norman Papernick, David Guttendorf, Erik E. Kahn, Jessica Kasemer, Jesse Holdaway, Jeff Schneider:
Decentralized Uncertainty-Aware Active Search with a Team of Aerial Robots. CoRR abs/2410.08507 (2024)- 2023
- [c3]Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods, Jeff G. Schneider:
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search. ICRA 2023: 7735-7741 - [i5]Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods, Jeff Schneider:
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search. CoRR abs/2304.02075 (2023) - 2021
- [i4]Akshay Dharmavaram, Tejus Gupta, Jiachen Li, Katia P. Sycara:
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning. CoRR abs/2110.08963 (2021) - 2020
- [c2]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRL 2020: 529-551 - [i3]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRR abs/2011.04709 (2020) - [i2]Vidhi Jain, Rohit Jena, Huao Li, Tejus Gupta, Dana Hughes, Michael Lewis, Katia P. Sycara:
Predicting Human Strategies in Simulated Search and Rescue Task. CoRR abs/2011.07656 (2020)
2010 – 2019
- 2019
- [i1]Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR abs/1912.00466 (2019) - 2018
- [c1]Tejus Gupta, Harshit S. Sikchi, Debashish Charkravarty:
Robust Lane Detection Using Multiple Features. Intelligent Vehicles Symposium 2018: 1470-1475
Coauthor Index
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