Arunkumar Byravan

46 papers A* 10Misc 4Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. ICML Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
2025	J	`jnl`	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. CoRR Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2025	J	`jnl`	Proc4Gem: Foundation models for physical agency through procedural generation. CoRR Yixin Lin, Jan Humplik, Sandy H. Huang, Leonard Hasenclever, Francesco Romano, Stefano Saliceti, Daniel Zheng, José Enrique Chen, Catarina Barros, Adrian Collister, Matt Young, Adil Dostmohamed, Ben Moran, Ken Caluwaerts, Marissa Giustina, Joss Moore, Kieran Connell, Francesco Nori, Nicolas Heess, Steven Bohez, Arunkumar Byravan
2025	J	`jnl`	Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data. CoRR Ben Moran, Mauro Comi, Arunkumar Byravan, Steven Bohez, Tom Erez, Zhibin Li, Leonard Hasenclever
2024	—	`conf`	Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning. CoLLAs Norman Di Palo, Leonard Hasenclever, Jan Humplik, Arunkumar Byravan
2024	J	`jnl`	Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning. CoRR Norman Di Palo, Leonard Hasenclever, Jan Humplik, Arunkumar Byravan
2024	Misc	`conf`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRL 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
2024	J	`jnl`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRR 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
2024	J	`jnl`	Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2024	J	`jnl`	Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning. CoRR Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
2024	—	`conf`	Real-world fluid directed rigid body control via deep reinforcement learning. L4DC Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
2023	J	`jnl`	A Generalist Dynamics Model for Control. CoRR Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess
2023	J	`jnl`	Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
2023	J	`jnl`	Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities. CoRR Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess
2023	J	`jnl`	Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2023	J	`jnl`	Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains. CoRR Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller
2023	A*	`conf`	NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. ICRA Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
2023	J	`jnl`	Towards A Unified Agent with Foundation Models. CoRR Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin A. Riedmiller
2022	A*	`conf`	Evaluating Model-Based Planning and Planner Amortization for Continuous Control. ICLR 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
2022	J	`jnl`	NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. CoRR Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess
2022	J	`jnl`	Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach. CoRR Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller
2022	J	`jnl`	The Challenges of Exploration for Offline Reinforcement Learning. CoRR Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller
2021	Misc	`conf`	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL 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, José Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	J	`jnl`	Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, José Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
2021	J	`jnl`	Evaluating model-based planning and planner amortization for continuous control. CoRR 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	J	`jnl`	Learning Dynamics Models for Model Predictive Agents. CoRR Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa
2021	J	`jnl`	On Multi-objective Policy Optimization as a Tool for Reinforcement Learning. CoRR Abbas Abdolmaleki, Sandy H. Huang, Giulia Vezzani, Bobak Shahriari, Jost Tobias Springenberg, Shruti Mishra, Dhruva TB, Arunkumar Byravan, Konstantinos Bousmalis, András György, Csaba Szepesvári, Raia Hadsell, Nicolas Heess, Martin A. Riedmiller
2021	A*	`conf`	Representation Matters: Improving Perception and Exploration for Robotics. ICRA Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2021	Misc	`conf`	Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. CoRL 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
2020	J	`jnl`	Local Search for Policy Iteration in Continuous Control. CoRR Jost Tobias Springenberg, Nicolas Heess, Daniel J. Mankowitz, Josh Merel, Arunkumar Byravan, Abbas Abdolmaleki, Jackie Kay, Jonas Degrave, Julian Schrittwieser, Yuval Tassa, Jonas Buchli, Dan Belov, Martin A. Riedmiller
2020	J	`jnl`	Representation Matters: Improving Perception and Exploration for Robotics. CoRR Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2019	Misc	`conf`	Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. CoRL Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	J	`jnl`	Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models. CoRR Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	J	`jnl`	Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB. CoRR Felix Leeb, Arunkumar Byravan, Dieter Fox
2019	J	`jnl`	Prospection: Interpretable Plans From Language By Predicting the Future. CoRR Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019	A*	`conf`	Prospection: Interpretable plans from language by predicting the future. ICRA Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox
2019	—	`—`	Structured Deep Visual Dynamics Models for Robot Manipulation. Arunkumar Byravan
2018	A*	`conf`	SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. ICRA Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox
2017	J	`jnl`	SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control. CoRR Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox
2017	A*	`conf`	SE3-nets: Learning rigid body motion using deep neural networks. ICRA Arunkumar Byravan, Dieter Fox
2016	—	`conf`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
2016	J	`jnl`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon
2016	J	`jnl`	SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks. CoRR Arunkumar Byravan, Dieter Fox
2015	A*	`conf`	Graph-Based Inverse Optimal Control for Robot Manipulation. IJCAI Arunkumar Byravan, Mathew Monfort, Brian D. Ziebart, Byron Boots, Dieter Fox
2014	A*	`conf`	Learning predictive models of a depth camera & manipulator from raw execution traces. ICRA Byron Boots, Arunkumar Byravan, Dieter Fox
2014	A*	`conf`	Space-time functional gradient optimization for motion planning. ICRA Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Dieter Fox