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Pulkit Katdare
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2020 – today
- 2024
- [i5]Pulkit Katdare, Anant Joshi, Katherine Rose Driggs-Campbell:
Towards Provable Log Density Policy Gradient. CoRR abs/2403.01605 (2024) - 2023
- [c4]Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell:
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRL 2023: 3778-3788 - [c3]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney:
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS 2023 - [i4]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney:
Equivariant Few-Shot Learning from Pretrained Models. CoRR abs/2305.09900 (2023) - [i3]Pulkit Katdare, Nan Jiang, Katherine Driggs Campbell:
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRR abs/2309.01807 (2023) - 2022
- [c2]Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell:
Off Environment Evaluation Using Convex Risk Minimization. ICRA 2022: 7485-7491 - 2021
- [i2]Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell:
Off Environment Evaluation Using Convex Risk Minimization. CoRR abs/2112.11532 (2021)
2010 – 2019
- 2017
- [c1]Sudin Kadam, Kedar Joshi, Naman Gupta, Pulkit Katdare, Ravi N. Banavar:
Trajectory tracking using motion primitives for the purcell's swimmer. IROS 2017: 3246-3251 - [i1]Kedar Joshi, Naman Gupta, Pulkit Katdare, Sudin Kadam, Ravi N. Banavar:
Trajectory Tracking Using Motion Primitives for the Purcell's Swimmer. CoRR abs/1703.06731 (2017)
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