Michael Neunert

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Towards practical reinforcement learning for tokamak magnetic control.

[BibT_eX]

[DOI]

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Magnetic control of tokamak plasmas through deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Data-efficient Hindsight Off-policy Option Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Constrained Multi-Objective Reinforcement Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

"What, not how": Solving an under-actuated insertion task from scratch.

[BibT_eX]

[DOI]

CoRR, 2020

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Noah Y. Siegel

CoRR, 2020

Compositional Transfer in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Markus Wulfmeier

Abbas Abdolmaleki

Roland Hafner

Proceedings of the Robotics: Science and Systems XVI, 2020

A distributional view on multi-objective policy optimization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Noah Y. Siegel

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.

[BibT_eX]

[DOI]

Saran Tunyasuvunakool

Nicolas Heess

Martin A. Riedmiller

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models.

[BibT_eX]

[DOI]

Arunkumar Byravan

CoRR, 2019

Regularized Hierarchical Policies for Compositional Transfer in Robotics.

[BibT_eX]

[DOI]

Markus Wulfmeier

Abbas Abdolmaleki

Roland Hafner

CoRR, 2019

Value constrained model-free continuous control.

[BibT_eX]

[DOI]

CoRR, 2019

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup.

[BibT_eX]

[DOI]

Devin Schwab

Murilo Fernandes Martins

Proceedings of the Robotics: Science and Systems XV, 2019

Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.

[BibT_eX]

[DOI]

Arunkumar Byravan

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds.

[BibT_eX]

[DOI]

Markus Stäuble

Markus Giftthaler

Carmine Dario Bellicoso

IEEE Robotics Autom. Lett., 2018

The control toolbox - An open-source C++ library for robotics, optimal and model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Simulation, 2018

A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning by Playing Solving Sparse Reward Tasks from Scratch.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Automatic differentiation of rigid body dynamics for optimal control and estimation.

[BibT_eX]

[DOI]

Adv. Robotics, 2017

Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

Online walking motion and foothold optimization for quadruped locomotion.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

An efficient optimal planning and control framework for quadrupedal locomotion.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2016

Fast derivatives of rigid body dynamics for control, optimization and estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Simulation, 2016

Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Efficient whole-body trajectory optimization using contact constraint relaxation.

[BibT_eX]

[DOI]

Farbod Farshidian

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

An open source, fiducial based, visual-inertial motion capture system.

[BibT_eX]

[DOI]

Michael Bloesch

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Projection based whole body motion planning for legged robots.

[BibT_eX]

[DOI]

CoRR, 2015

An Open Source, Fiducial Based, Visual-Inertial State Estimation System.

[BibT_eX]

[DOI]

Michael Blösch

CoRR, 2015

Unified motion control for dynamic quadrotor maneuvers demonstrated on slung load and rotor failure tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Learning of closed-loop motion control.

[BibT_eX]

[DOI]

Farbod Farshidian