Trajectory tracking using motion primitives for the purcell's swimmer S Kadam, K Joshi, N Gupta, P Katdare, R Banavar 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 11 | 2017 |
Efficient equivariant transfer learning from pretrained models S Basu, P Katdare, P Sattigeri, V Chenthamarakshan, K Driggs-Campbell, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Marginalized importance sampling for off-environment policy evaluation P Katdare, N Jiang, KR Driggs-Campbell Conference on Robot Learning, 3778-3788, 2023 | 2 | 2023 |
Equivariant Few-Shot Learning from Pretrained Models S Basu, P Katdare, P Sattigeri, V Chenthamarakshan, K Driggs-Campbell, ... arXiv preprint arXiv:2305.09900, 2023 | 2 | 2023 |
Off environment evaluation using convex risk minimization P Katdare, S Liu, KD Campbell 2022 International Conference on Robotics and Automation (ICRA), 7485-7491, 2022 | 2 | 2022 |
Gauge Equivariant Deep Q-Learning on Discrete Manifolds S Basu, P Katdare, KR Driggs-Campbell, LR Varshney ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 1 | 2022 |
Towards Provable Log Density Policy Gradient P Katdare, A Joshi, K Driggs-Campbell | | 2024 |
Trajectory Tracking Using Motion Primitives for the Purcell’s Swimmer K Joshi, N Gupta, P Katdare, S Kadam, R Banavar CoRR, 2017 | | 2017 |
On Sample Complexity of LQR P Katdare | | |