Michael Neunert

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Predictive Control

Reinforcement Learning

Nonlinear Optimization

Top Venues

IEEE Robotics Autom. Lett.

Publications

Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning. CoRR (2024)
Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
Real-world fluid directed rigid body control via deep reinforcement learning. L4DC (2024)
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
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA (2024)
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
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR (2023)
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, The TCV Team
Towards practical reinforcement learning for tokamak magnetic control. CoRR (2023)
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
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. Trans. Mach. Learn. Res. 2023 (2023)
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, Jose 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
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR (2023)
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
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR (2022)
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
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. CoRR (2022)
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
Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. 602 (7897) (2022)
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Data-efficient Hindsight Off-policy Option Learning. ICML (2021)
Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR (2021)
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, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL (2021)
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
A Constrained Multi-Objective Reinforcement Learning Framework. CoRL (2021)
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. ICLR (2020)
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
A Distributional View on Multi-Objective Policy Optimization. CoRR (2020)
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Noah Y. Siegel, Tim Hertweck, Thomas Lampe, Nicolas Heess, Martin A. Riedmiller
Compositional Transfer in Hierarchical Reinforcement Learning. Robotics: Science and Systems (2020)
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRR (2020)
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRL (2020)
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. CoRR (2020)
Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori
"What, not how": Solving an under-actuated insertion task from scratch. CoRR (2020)
Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller
A distributional view on multi-objective policy optimization. ICML (2020)
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Data-efficient Hindsight Off-policy Option Learning. CoRR (2020)
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRR (2020)
Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models. CoRR (2019)
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRL (2019)
Devin Schwab, Jost Tobias Springenberg, Murilo F. Martins, Thomas Lampe, Michael Neunert, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup. CoRR (2019)
Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. CoRL (2019)
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
Regularized Hierarchical Policies for Compositional Transfer in Robotics. CoRR (2019)
Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell
Value constrained model-free continuous control. CoRR (2019)
Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins, Michael Neunert, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Roland Hafner, Francesco Nori, Martin A. Riedmiller
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup. Robotics: Science and Systems (2019)
Michael Neunert, Markus Stäuble, Markus Giftthaler, Carmine Dario Bellicoso, Jan Carius, Christian Gehring, Marco Hutter, Jonas Buchli
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds. IEEE Robotics Autom. Lett. 3 (2) (2018)
Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Vlad Mnih, Nicolas Heess, Jost Tobias Springenberg
Learning by Playing Solving Sparse Reward Tasks from Scratch. ICML (2018)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli
The control toolbox - An open-source C++ library for robotics, optimal and model predictive control. SIMPAR (2018)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. IROS (2018)
Martin A. Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg
Learning by Playing - Solving Sparse Reward Tasks from Scratch. CoRR (2018)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control. CoRR (2018)
Alexander W. Winkler, Farbod Farshidian, Diego Pardo, Michael Neunert, Jonas Buchli
Fast Trajectory Optimization for Legged Robots using Vertex-based ZMP Constraints. CoRR (2017)
Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli
An efficient optimal planning and control framework for quadrupedal locomotion. ICRA (2017)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Marco Frigerio, Claudio Semini, Jonas Buchli
Automatic Differentiation of Rigid Body Dynamics for Optimal Control and Estimation. CoRR (2017)
Alexander W. Winkler, Farbod Farshidian, Diego Pardo, Michael Neunert, Jonas Buchli
Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints. IEEE Robotics Autom. Lett. 2 (4) (2017)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Marco Frigerio, Claudio Semini, Jonas Buchli
Automatic differentiation of rigid body dynamics for optimal control and estimation. Adv. Robotics 31 (22) (2017)
Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. CoRR (2017)
Michael Neunert, Farbod Farshidian, Alexander W. Winkler, Jonas Buchli
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. IEEE Robotics Autom. Lett. 2 (3) (2017)
Diego Pardo, Michael Neunert, Alexander W. Winkler, Ruben Grandia, Jonas Buchli
Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion. Robotics: Science and Systems (2017)
Alexander W. Winkler, Farbod Farshidian, Michael Neunert, Diego Pardo, Jonas Buchli
Online walking motion and foothold optimization for quadruped locomotion. ICRA (2017)
Michael Neunert, Markus Stäuble, Markus Giftthaler, Carmine Dario Bellicoso, Jan Carius, Christian Gehring, Marco Hutter, Jonas Buchli
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds. CoRR (2017)
Michael Neunert, Cedric de Crousaz, Fadri Furrer, Mina Kamel, Farbod Farshidian, Roland Siegwart, Jonas Buchli
Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking. ICRA (2016)
Michael Neunert, Farbod Farshidian, Alexander W. Winkler, Jonas Buchli
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. CoRR (2016)
Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion. CoRR (2016)
Michael Neunert, Farbod Farshidian, Jonas Buchli
Efficient whole-body trajectory optimization using contact constraint relaxation. Humanoids (2016)
Diego Pardo, Lukas Möller, Michael Neunert, Alexander W. Winkler, Jonas Buchli
Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning. IEEE Robotics Autom. Lett. 1 (2) (2016)
Michael Neunert, Michael Bloesch, Jonas Buchli
An open source, fiducial based, visual-inertial motion capture system. FUSION (2016)
Michael Neunert, Markus Giftthaler, Marco Frigerio, Claudio Semini, Jonas Buchli
Fast derivatives of rigid body dynamics for control, optimization and estimation. SIMPAR (2016)
Michael Neunert, Michael Blösch, Jonas Buchli
An Open Source, Fiducial Based, Visual-Inertial State Estimation System. CoRR (2015)
Diego Pardo, Lukas Möller, Michael Neunert, Alexander W. Winkler, Jonas Buchli
Evaluating direct transcription and nonlinear optimization methods for robot motion planning. CoRR (2015)
Cedric de Crousaz, Farbod Farshidian, Michael Neunert, Jonas Buchli
Unified motion control for dynamic quadrotor maneuvers demonstrated on slung load and rotor failure tasks. ICRA (2015)
Diego Pardo, Michael Neunert, Alexander W. Winkler, Jonas Buchli
Projection based whole body motion planning for legged robots. CoRR (2015)
Farbod Farshidian, Michael Neunert, Jonas Buchli
Learning of closed-loop motion control. IROS (2014)