Arunkumar Byravan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. | Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, Ren Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski |
| 2024 | CoRL | Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. | Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess |
| 2023 | ICRA | NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. | Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess |
| 2022 | ICLR | Evaluating Model-Based Planning and Planner Amortization for Continuous Control. | Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller |
| 2021 | CoRL | Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. | Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess |
| 2021 | CoRL | Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. | Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jos Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori |
| 2021 | ICRA | Representation Matters: Improving Perception and Exploration for Robotics. | Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller |
| 2019 | CoRL | Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. | Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller |
| 2019 | ICRA | Prospection: Interpretable plans from language by predicting the future. | Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox |
| 2018 | ICRA | SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. | Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox |
| 2017 | ICRA | SE3-nets: Learning rigid body motion using deep neural networks. | Arunkumar Byravan, Dieter Fox |
| 2015 | IJCAI | Graph-Based Inverse Optimal Control for Robot Manipulation. | Arunkumar Byravan, Mathew Monfort, Brian D. Ziebart, Byron Boots, Dieter Fox |
| 2014 | ICRA | Learning predictive models of a depth camera & manipulator from raw execution traces. | Byron Boots, Arunkumar Byravan, Dieter Fox |
| 2014 | ICRA | Space-time functional gradient optimization for motion planning. | Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Dieter Fox |