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Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.

R. Li, A. Jabri, T. Darrell, and P. Agrawal. CoRR, (2019)

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Adyant Agrawal University of Stuttgart

Other publications of authors with the same name

Human Pose Estimation with Iterative Error Feedback.J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik. CVPR, page 4733-4742. IEEE Computer Society, (2016)Learning to Poke by Poking: Experiential Learning of Intuitive Physics.P. Agrawal, A. Nair, P. Abbeel, J. Malik, and S. Levine. CoRR, (2016)Data Platform for Machine Learning.P. Agrawal, R. Arya, A. Bindal, S. Bhatia, A. Gagneja, J. Godlewski, Y. Low, T. Muss, M. Paliwal, S. Raman and 5 other author(s). SIGMOD Conference, page 1803-1816. ACM, (2019)Learning to Perform Physics Experiments via Deep Reinforcement Learning.M. Denil, P. Agrawal, T. Kulkarni, T. Erez, P. Battaglia, and N. de Freitas. ICLR (Poster), OpenReview.net, (2017)Learning Visual Predictive Models of Physics for Playing Billiards.K. Fragkiadaki, P. Agrawal, S. Levine, and J. Malik. ICLR (Poster), (2016)Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.P. Khorrami, O. Simek, B. Cheung, M. Veillette, R. Dangovski, I. Rugina, M. Soljacic, and P. Agrawal. IEEE BigData, page 4169-4177. IEEE, (2021)Learning Instance Segmentation by Interaction.D. Pathak, Y. Shentu, D. Chen, P. Agrawal, T. Darrell, S. Levine, and J. Malik. CVPR Workshops, page 2042-2045. IEEE Computer Society, (2018)The Task Specification Problem.P. Agrawal. CoRL, volume 164 of Proceedings of Machine Learning Research, page 1745-1751. PMLR, (2021)3D Neural Scene Representations for Visuomotor Control.Y. Li, S. Li, V. Sitzmann, P. Agrawal, and A. Torralba. CoRL, volume 164 of Proceedings of Machine Learning Research, page 112-123. PMLR, (2021)Learning to Jump from Pixels.G. Margolis, T. Chen, K. Paigwar, X. Fu, D. Kim, S. Kim, and P. Agrawal. CoRL, volume 164 of Proceedings of Machine Learning Research, page 1025-1034. PMLR, (2021)

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Disambiguation of "Agrawal, Pulkit"

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Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.

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Adyant Agrawal University of Stuttgart

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.

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Adyant Agrawal University of Stuttgart

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Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning.