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Michael Lutter
Michael Lutter
Boston Dynamics
Verified email at bostondynamics.com - Homepage
Title
Cited by
Cited by
Year
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
M Lutter, C Ritter, J Peters
International Conference on Learning Representations (ICLR), 2019
3932019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
M Lutter, C Ritter, J Peters
International Conference on Learning Representations (ICLR), 2019
3932019
Deep lagrangian networks for end-to-end learning of energy-based control for under-actuated systems
M Lutter, K Listmann, J Peters
International Conference on Intelligent Robots and Systems (IROS), 7718-7725, 2019
72*2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems
M Lutter, K Listmann, J Peters
International Conference on Intelligent Robots and Systems (IROS), 2019
612019
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
M Lutter, J Silberbauer, J Watson, J Peters
International Conference on Robotics and Automation (ICRA), 2021
392021
Value Iteration in Continuous Actions, States and Time
M Lutter, S Mannor, J Peters, D Fox, A Garg
International Conference on Machone Learning (ICML), 2021
332021
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
M Lutter, B Belousov, K Listmann, D Clever, J Peters
Conference on Robot Learning (CoRL), 2019
262019
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
K Ploeger, M Lutter, J Peters
Conference on Robot Learning (CoRL), 2020
232020
Learning dynamics models for model predictive agents
M Lutter, L Hasenclever, A Byravan, G Dulac-Arnold, P Trochim, N Heess, ...
arXiv preprint arXiv:2109.14311, 2021
222021
Combining physics and deep learning to learn continuous-time dynamics models
M Lutter, J Peters
International Journal of Robotics Research (IJRR), 2021
172021
Online learning of an open-ended skill library for collaborative tasks
D Koert, S Trick, M Ewerton, M Lutter, J Peters
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), 1-9, 2018
172018
Robust Value Iteration for Continuous Control Tasks
M Lutter, S Mannor, J Peters, D Fox, A Garg
Robotics: Science and Systems (RSS), 2021
152021
A Differentiable Newton Euler Algorithm for Multi-body Model Learning
M Lutter, J Silberbauer, J Watson, J Peters
ICML Workshop on Inductive Biases, Invariances and Generalization in RL, 2020
112020
Continuous-time fitted value iteration for robust policies
M Lutter, B Belousov, S Mannor, D Fox, A Garg, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
92022
Incremental learning of an open-ended collaborative skill library
D Koert, S Trick, M Ewerton, M Lutter, J Peters
International Journal of Humanoid Robotics 17 (01), 2050001, 2020
72020
Building skill learning systems for robotics
M Lutter, D Clever, R Kirsten, K Listmann, J Peters
2021 IEEE 17th International Conference on Automation Science and†…, 2021
62021
International Conference on Learning Representations
M Lutter, C Ritter, J Peters
52019
A Differentiable Newton–Euler Algorithm for Real-World Robotics
M Lutter
Inductive Biases in Machine Learning for Robotics and Control, 9-34, 2023
32023
Inductive Biases in Machine Learning for Robotics and Control
M Lutter
Springer Nature, 2023
22023
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning
D Palenicek, M Lutter, J Carvalho, J Peters
International Conference on Learning Representations (ICLR), 2023
12023
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