f-irl: Inverse reinforcement learning via state marginal matching T Ni, H Sikchi, Y Wang, T Gupta, L Lee, B Eysenbach Conference on Robot Learning, 529-551, 2021 | 71 | 2021 |
Predicting human strategies in simulated search and rescue task V Jain, R Jena, H Li, T Gupta, D Hughes, M Lewis, K Sycara arXiv preprint arXiv:2011.07656, 2020 | 13 | 2020 |
A method for computing class-wise universal adversarial perturbations T Gupta, A Sinha, N Kumari, M Singh, B Krishnamurthy arXiv preprint arXiv:1912.00466, 2019 | 13 | 2019 |
Robust lane detection using multiple features T Gupta, HS Sikchi, D Charkravarty 2018 IEEE intelligent vehicles symposium (IV), 1470-1475, 2018 | 11 | 2018 |
Guts: Generalized uncertainty-aware thompson sampling for multi-agent active search NA Bakshi, T Gupta, R Ghods, J Schneider 2023 IEEE International Conference on Robotics and Automation (ICRA), 7735-7741, 2023 | 5 | 2023 |
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning A Dharmavaram, T Gupta, J Li, KP Sycara arXiv preprint arXiv:2110.08963, 2021 | | 2021 |
Adaptive and Efficient Models for Intent Recognition T Gupta Carnegie Mellon University Pittsburgh, PA, 2021 | | 2021 |
Vision-based Autonomous Driving - A Survey of Recent Methods T Gupta | | |
Learning Rewards via State Marginal Matching T Gupta, T Ni, H Sikchi, Y Wang, B Eysenbach, L Lee | | |
f-IRL: Inverse Reinforcement Learning via State Marginal Matching H Sikchi, T Ni, Y Wang, T Gupta, B Eysenbach, L Lee | | |
Learning Rewards via State Marginal Matching H Sikchi, T Ni, T Gupta, Y Wang, B Eysenbach, L Lee | | |