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Michael Neunert
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2020 – today
- 2024
- [c24]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: 7772-7779 - [c23]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: 414-427 - [i28]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 abs/2402.06102 (2024) - 2023
- [j7]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) - [i27]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:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i26]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 abs/2307.11546 (2023) - [i25]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 abs/2312.11374 (2023) - 2022
- [j6]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): 414-419 (2022) - [i24]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 abs/2203.17138 (2022) - [i23]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 abs/2211.13743 (2022) - 2021
- [c22]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: 883-893 - [c21]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:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL 2021: 1089-1131 - [c20]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: 11340-11350 - [i22]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:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR abs/2110.06192 (2021) - 2020
- [c19]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: 1084-1099 - [c18]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 - [c17]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: 11-22 - [c16]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 - [i21]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 abs/2001.00449 (2020) - [i20]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 abs/2002.08396 (2020) - [i19]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 abs/2005.07513 (2020) - [i18]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 abs/2007.15588 (2020) - [i17]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 abs/2008.12228 (2020) - [i16]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 abs/2010.15492 (2020)
2010 – 2019
- 2019
- [c15]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: 566-589 - [c14]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: 735-751 - [c13]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 - [i15]Steven Bohez, Abbas Abdolmaleki, Michael Neunert, Jonas Buchli, Nicolas Heess, Raia Hadsell:
Value constrained model-free continuous control. CoRR abs/1902.04623 (2019) - [i14]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 abs/1902.04706 (2019) - [i13]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 abs/1906.11228 (2019) - [i12]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 abs/1910.04142 (2019) - 2018
- [j5]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): 1458-1465 (2018) - [c12]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: 4341-4350 - [c11]Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl:
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. IROS 2018: 1-9 - [c10]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: 123-129 - [i11]Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli:
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control. CoRR abs/1801.04290 (2018) - [i10]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 abs/1802.10567 (2018) - 2017
- [j4]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): 1225-1237 (2017) - [j3]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): 1502-1509 (2017) - [j2]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): 2201-2208 (2017) - [c9]Farbod Farshidian, Michael Neunert, Alexander W. Winkler
, Gonzalo Rey, Jonas Buchli:
An efficient optimal planning and control framework for quadrupedal locomotion. ICRA 2017: 93-100 - [c8]Alexander W. Winkler
, Farbod Farshidian, Michael Neunert, Diego Pardo, Jonas Buchli:
Online walking motion and foothold optimization for quadruped locomotion. ICRA 2017: 5308-5313 - [c7]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 - [i9]Alexander W. Winkler, Farbod Farshidian, Diego Pardo, Michael Neunert, Jonas Buchli:
Fast Trajectory Optimization for Legged Robots using Vertex-based ZMP Constraints. CoRR abs/1705.10313 (2017) - [i8]Markus Giftthaler, Michael Neunert, Markus Stäuble, Marco Frigerio, Claudio Semini, Jonas Buchli:
Automatic Differentiation of Rigid Body Dynamics for Optimal Control and Estimation. CoRR abs/1709.03799 (2017) - [i7]Markus Giftthaler, Michael Neunert, Markus Stäuble, Jonas Buchli, Moritz Diehl:
A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. CoRR abs/1711.11006 (2017) - [i6]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 abs/1712.02889 (2017) - 2016
- [j1]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): 946-953 (2016) - [c6]Michael Neunert, Michael Bloesch, Jonas Buchli:
An open source, fiducial based, visual-inertial motion capture system. FUSION 2016: 1523-1530 - [c5]Michael Neunert, Farbod Farshidian, Jonas Buchli:
Efficient whole-body trajectory optimization using contact constraint relaxation. Humanoids 2016: 43-48 - [c4]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: 1398-1404 - [c3]Michael Neunert, Markus Giftthaler, Marco Frigerio, Claudio Semini
, Jonas Buchli:
Fast derivatives of rigid body dynamics for control, optimization and estimation. SIMPAR 2016: 91-97 - [i5]Michael Neunert, Farbod Farshidian, Alexander W. Winkler, Jonas Buchli:
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. CoRR abs/1607.04537 (2016) - [i4]Farbod Farshidian, Michael Neunert, Alexander W. Winkler, Gonzalo Rey, Jonas Buchli:
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion. CoRR abs/1609.09861 (2016) - 2015
- [c2]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: 2223-2229 - [i3]Diego Pardo, Lukas Möller, Michael Neunert, Alexander W. Winkler, Jonas Buchli:
Evaluating direct transcription and nonlinear optimization methods for robot motion planning. CoRR abs/1504.05803 (2015) - [i2]Michael Neunert, Michael Blösch, Jonas Buchli:
An Open Source, Fiducial Based, Visual-Inertial State Estimation System. CoRR abs/1507.02081 (2015) - [i1]Diego Pardo, Michael Neunert, Alexander W. Winkler, Jonas Buchli:
Projection based whole body motion planning for legged robots. CoRR abs/1510.01625 (2015) - 2014
- [c1]Farbod Farshidian, Michael Neunert, Jonas Buchli:
Learning of closed-loop motion control. IROS 2014: 1441-1446
Coauthor Index
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