Pulkit Agrawal

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Tao ChenPh.D., CSAIL, MITDirección de correo verificada de mit.edu
Deepak PathakAssistant Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyDirección de correo verificada de eecs.berkeley.edu
Sergey LevineUC Berkeley, Physical IntelligenceDirección de correo verificada de eecs.berkeley.edu
Anurag AjayMIT, UC BerkeleyDirección de correo verificada de berkeley.edu
Zhang-Wei HongMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Gabriel B. MargolisMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Anthony SimeonovPhD Student in Robotics, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Brian CheungFellow at MIT, UC BerkeleyDirección de correo verificada de berkeley.edu
Yilun DuMITDirección de correo verificada de mit.edu
Minyoung HuhPhD student in MIT CSAILDirección de correo verificada de mit.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Jie XuResearch Scientist at NVIDIA; Previously Ph.D. Student at MITDirección de correo verificada de csail.mit.edu
João CarreiraGoogle DeepMindDirección de correo verificada de google.com
Phillip IsolaAssociate Professor, MITDirección de correo verificada de mit.edu
Katerina FragkiadakiAssociate Professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Dian ChenWaabiDirección de correo verificada de waabi.ai
Pieter AbbeelUC Berkeley | CovariantDirección de correo verificada de cs.berkeley.edu
Ashvin NairOpenAIDirección de correo verificada de berkeley.edu

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Pulkit Agrawal

Massachusetts Institute of Technology

Dirección de correo verificada de mit.edu - Página principal

Robotics Computer Vision Artificial Intelligence Reinforcement Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International conference on machine learning, 2778-2787, 2017	2851	2017
Human pose estimation with iterative error feedback J Carreira, P Agrawal, K Fragkiadaki, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2016	1014	2016
What makes ImageNet good for transfer learning? M Huh, P Agrawal, AA Efros Advances in Neural Information Processing Systems Workshop, 2016	835	2016
Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy J Zhang, S Gajjala, P Agrawal, GH Tison, LA Hallock, L Beussink-Nelson, ... Circulation 138 (16), 1623-1635, 2018	817	2018
Learning to see by moving P Agrawal, J Carreira, J Malik Proceedings of the IEEE international conference on computer vision, 37-45, 2015	684	2015
Learning to poke by poking: Experiential learning of intuitive physics P Agrawal, AV Nair, P Abbeel, J Malik, S Levine Advances in neural information processing systems 29, 2016	612	2016
Analyzing the performance of multilayer neural networks for object recognition P Agrawal, R Girshick, J Malik Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	593	2014
Combining self-supervised learning and imitation for vision-based rope manipulation A Nair, D Chen, P Agrawal, P Isola, P Abbeel, J Malik, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 2146-2153, 2017	346	2017
Zero-shot visual imitation D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ... International Conference on Learning Representations, 2018	321	2018
Learning visual predictive models of physics for playing billiards K Fragkiadaki, P Agrawal, S Levine, J Malik International Conference on Learning Representations, 2015	287	2015
Is conditional generative modeling all you need for decision-making? A Ajay, Y Du, A Gupta, J Tenenbaum, T Jaakkola, P Agrawal arXiv preprint arXiv:2211.15657, 2022	260	2022
A system for general in-hand object re-orientation T Chen, J Xu, P Agrawal Conference on Robot Learning, 297-307, 2022	220	2022
Investigating human priors for playing video games R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros Proceedings of the 35th International Conference on Machine Learning, 1349--1357, 2018	199	2018
Rapid locomotion via reinforcement learning GB Margolis, G Yang, K Paigwar, T Chen, P Agrawal The International Journal of Robotics Research 43 (4), 572-587, 2024	173	2024
Opal: Offline primitive discovery for accelerating offline reinforcement learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum arXiv preprint arXiv:2010.13611, 2020	170	2020
Neural descriptor fields: Se (3)-equivariant object representations for manipulation A Simeonov, Y Du, A Tagliasacchi, JB Tenenbaum, A Rodriguez, ... 2022 International Conference on Robotics and Automation (ICRA), 6394-6400, 2022	140	2022
3d neural scene representations for visuomotor control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning, 112-123, 2022	131	2022
Superposition of many models into one B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen arXiv preprint arXiv:1902.05522, 2019	131	2019
Equivariant contrastive learning R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ... arXiv preprint arXiv:2111.00899, 2021	125	2021
Towards practical multi-object manipulation using relational reinforcement learning R Li, A Jabri, T Darrell, P Agrawal 2020 ieee international conference on robotics and automation (icra), 4051-4058, 2020	116	2020

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