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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.

Z. Marinho, B. Boots, A. Dragan, A. Byravan, G. Gordon, and S. Srinivasa. Robotics: Science and Systems, (2016)

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Arunkumar Ramaswamy

Arunkumar Dhayalan

Arunkumar Subramanian

Arunkumar Mitra

Rupali Arunkumar Mahajan

Other publications of authors with the same name

Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB.F. Leeb, A. Byravan, and D. Fox. CoRR, (2019)Learning Dynamics Models for Model Predictive Agents.M. Lutter, L. Hasenclever, A. Byravan, G. Dulac-Arnold, P. Trochim, N. Heess, J. Merel, and Y. Tassa. CoRR, (2021)Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities.M. Wulfmeier, A. Byravan, S. Bechtle, K. Hausman, and N. Heess. CoRR, (2023)On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.A. Abdolmaleki, S. Huang, G. Vezzani, B. Shahriari, J. Springenberg, S. Mishra, D. TB, A. Byravan, K. Bousmalis, A. György and 4 other author(s). CoRR, (2021)Evaluating Model-Based Planning and Planner Amortization for Continuous Control.A. Byravan, L. Hasenclever, P. Trochim, M. Mirza, A. Ialongo, Y. Tassa, J. Springenberg, A. Abdolmaleki, N. Heess, J. Merel and 1 other author(s). ICLR, OpenReview.net, (2022)Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.A. Byravan, J. Springenberg, A. Abdolmaleki, R. Hafner, M. Neunert, T. Lampe, N. Siegel, N. Heess, and M. Riedmiller. CoRL, volume 100 of Proceedings of Machine Learning Research, page 566-589. PMLR, (2019)Local Search for Policy Iteration in Continuous Control.J. Springenberg, N. Heess, D. Mankowitz, J. Merel, A. Byravan, A. Abdolmaleki, J. Kay, J. Degrave, J. Schrittwieser, Y. Tassa and 3 other author(s). CoRR, (2020)The Challenges of Exploration for Offline Reinforcement Learning.N. Lambert, M. Wulfmeier, W. Whitney, A. Byravan, M. Bloesch, V. Dasagi, T. Hertweck, and M. Riedmiller. CoRR, (2022)Evaluating model-based planning and planner amortization for continuous control.A. Byravan, L. Hasenclever, P. Trochim, M. Mirza, A. Ialongo, Y. Tassa, J. Springenberg, A. Abdolmaleki, N. Heess, J. Merel and 1 other author(s). CoRR, (2021)Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.B. Shahriari, A. Abdolmaleki, A. Byravan, A. Friesen, S. Liu, J. Springenberg, N. Heess, M. Hoffman, and M. Riedmiller. CoRR, (2022)

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Disambiguation of "Byravan, Arunkumar"

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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.

Please choose a person to relate this publication to

Arunkumar Ramaswamy

Arunkumar Dhayalan

Arunkumar Subramanian

Arunkumar Mitra

Rupali Arunkumar Mahajan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Byravan, Arunkumar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.

Please choose a person to relate this publication to

Arunkumar Ramaswamy

Arunkumar Dhayalan

Arunkumar Subramanian

Arunkumar Mitra

Rupali Arunkumar Mahajan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.