Michael Neunert

60 papers A* 9A 3C 1Misc 5Journal 35Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
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
2024	A	`conf`	The Design of the Barkour Benchmark for Robot Agility. IROS Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee
2023	J	`jnl`	Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan
2023	J	`jnl`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. Trans. Mach. Learn. Res. Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	Towards practical reinforcement learning for tokamak magnetic control. CoRR Brendan D. Tracey, Andrea Michi, Yuri Chervonyi, Ian Davies, Cosmin Paduraru, Nevena Lazic, Federico Felici, Timo Ewalds, Craig Donner, Cristian Galperti, Jonas Buchli, Michael Neunert, Andrea Huber, Jonathan Evens, Paula Kurylowicz, Daniel J. Mankowitz, Martin A. Riedmiller, TCV Team
2022	J	`jnl`	Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
2022	J	`jnl`	Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller
2022	J	`jnl`	SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. CoRR Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2021	Misc	`conf`	A Constrained Multi-Objective Reinforcement Learning Framework. CoRL Sandy H. Huang, Abbas Abdolmaleki, Giulia Vezzani, Philemon Brakel, Daniel J. Mankowitz, Michael Neunert, Steven Bohez, Yuval Tassa, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell
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	A*	`conf`	Data-efficient Hindsight Off-policy Option Learning. ICML Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	"What, not how": Solving an under-actuated insertion task from scratch. CoRR Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori
2020	J	`jnl`	A Distributional View on Multi-Objective Policy Optimization. CoRR Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	A*	`conf`	A distributional view on multi-objective policy optimization. ICML Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
2020	—	`conf`	Compositional Transfer in Hierarchical Reinforcement Learning. Robotics: Science and Systems Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Noah Y. Siegel, Tim Hertweck, Thomas Lampe, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRR Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Data-efficient Hindsight Off-policy Option Learning. CoRR Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2020	A*	`conf`	Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. ICLR Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. CoRR Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020	Misc	`conf`	Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRL Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRR Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2019	Misc	`conf`	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRL Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, 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`	Regularized Hierarchical Policies for Compositional Transfer in Robotics. CoRR Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	—	`conf`	Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup. Robotics: Science and Systems Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins, Michael Neunert, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
2019	J	`jnl`	Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup. CoRR Devin Schwab, Jost Tobias Springenberg, Murilo F. Martins, Thomas Lampe, Michael Neunert, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
2019	J	`jnl`	Value constrained model-free continuous control. CoRR Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell
2018	A	`conf`	A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. IROS Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl
2018	J	`jnl`	Learning by Playing - Solving Sparse Reward Tasks from Scratch. CoRR Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg
2018	A*	`conf`	Learning by Playing Solving Sparse Reward Tasks from Scratch. ICML Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg
2018	J	`jnl`	The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control. CoRR Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli
2018	—	`conf`	The control toolbox - An open-source C++ library for robotics, optimal and model predictive control. SIMPAR Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli
2018	J	`jnl`	Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds. IEEE Robotics Autom. Lett. Michael Neunert, Markus Stäuble, Markus Giftthaler, Carmine Dario Bellicoso, Jan Carius, Christian Gehring, Marco Hutter, Jonas Buchli
2017	J	`jnl`	A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. CoRR Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl
2017	A*	`conf`	An efficient optimal planning and control framework for quadrupedal locomotion. ICRA Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli
2017	J	`jnl`	Automatic Differentiation of Rigid Body Dynamics for Optimal Control and Estimation. CoRR Markus Giftthaler, Michael Neunert, Markus Stäuble, Marco Frigerio, Claudio Semini, Jonas Buchli
2017	J	`jnl`	Automatic differentiation of rigid body dynamics for optimal control and estimation. Adv. Robotics Markus Giftthaler, Michael Neunert, Markus Stäuble, Marco Frigerio, Claudio Semini, Jonas Buchli
2017	J	`jnl`	Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints. IEEE Robotics Autom. Lett. Alexander W. Winkler, Farbod Farshidian, Diego Pardo, Michael Neunert, Jonas Buchli
2017	J	`jnl`	Fast Trajectory Optimization for Legged Robots using Vertex-based ZMP Constraints. CoRR Alexander W. Winkler, Farbod Farshidian, Diego Pardo, Michael Neunert, Jonas Buchli
2017	—	`conf`	Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion. Robotics: Science and Systems Diego Pardo, Michael Neunert, Alexander W. Winkler, Ruben Grandia, Jonas Buchli
2017	A*	`conf`	Online walking motion and foothold optimization for quadruped locomotion. ICRA Alexander W. Winkler, Farbod Farshidian, Michael Neunert, Diego Pardo, Jonas Buchli
2017	J	`jnl`	Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. IEEE Robotics Autom. Lett. Michael Neunert, Farbod Farshidian, Alexander W. Winkler, Jonas Buchli
2017	J	`jnl`	Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds. CoRR Michael Neunert, Markus Stäuble, Markus Giftthaler, Carmine Dario Bellicoso, Jan Carius, Christian Gehring, Marco Hutter, Jonas Buchli
2016	J	`jnl`	An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion. CoRR Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli
2016	C	`conf`	An open source, fiducial based, visual-inertial motion capture system. FUSION Michael Neunert, Michael Bloesch, Jonas Buchli
2016	—	`conf`	Efficient whole-body trajectory optimization using contact constraint relaxation. Humanoids Michael Neunert, Farbod Farshidian, Jonas Buchli
2016	J	`jnl`	Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning. IEEE Robotics Autom. Lett. Diego Pardo, Lukas Möller, Michael Neunert, Alexander W. Winkler, Jonas Buchli
2016	—	`conf`	Fast derivatives of rigid body dynamics for control, optimization and estimation. SIMPAR Michael Neunert, Markus Giftthaler, Marco Frigerio, Claudio Semini, Jonas Buchli
2016	A*	`conf`	Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking. ICRA Michael Neunert, Cedric de Crousaz, Fadri Furrer, Mina Kamel, Farbod Farshidian, Roland Siegwart, Jonas Buchli
2016	J	`jnl`	Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. CoRR Michael Neunert, Farbod Farshidian, Alexander W. Winkler, Jonas Buchli
2015	J	`jnl`	An Open Source, Fiducial Based, Visual-Inertial State Estimation System. CoRR Michael Neunert, Michael Blösch, Jonas Buchli
2015	J	`jnl`	Evaluating direct transcription and nonlinear optimization methods for robot motion planning. CoRR Diego Pardo, Lukas Möller, Michael Neunert, Alexander W. Winkler, Jonas Buchli
2015	J	`jnl`	Projection based whole body motion planning for legged robots. CoRR Diego Pardo, Michael Neunert, Alexander W. Winkler, Jonas Buchli
2015	A*	`conf`	Unified motion control for dynamic quadrotor maneuvers demonstrated on slung load and rotor failure tasks. ICRA Cedric de Crousaz, Farbod Farshidian, Michael Neunert, Jonas Buchli
2014	A	`conf`	Learning of closed-loop motion control. IROS Farbod Farshidian, Michael Neunert, Jonas Buchli