Michael Lutter

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Markov Decision Processes

Perceptual Aliasing

Top Venues

Int. J. Robotics Res.

Publications

Michael Lutter, Jan Peters
Combining physics and deep learning to learn continuous-time dynamics models. Int. J. Robotics Res. 42 (3) (2023)
Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. ICLR (2023)
Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. CoRR (2023)
Daniel Palenicek, Michael Lutter, Jan Peters
Revisiting Model-based Value Expansion. CoRR (2022)
Michael Lutter, Jan Peters
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models. CoRR (2021)
Michael Lutter, Leonard Hasenclever, Arunkumar Byravan, Gabriel Dulac-Arnold, Piotr Trochim, Nicolas Heess, Josh Merel, Yuval Tassa
Learning Dynamics Models for Model Predictive Agents. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Robust Value Iteration for Continuous Control Tasks. CoRR (2021)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. ICRA (2021)
Florian Stuhlenmiller, Debora Clever, Stephan Rinderknecht, Michael Lutter, Jan Peters
Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System. AIM (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Value Iteration in Continuous Actions, States and Time. CoRR (2021)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
A Differentiable Newton-Euler Algorithm for Real-World Robotics. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Value Iteration in Continuous Actions, States and Time. ICML (2021)
Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
Continuous-Time Fitted Value Iteration for Robust Policies. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems (2021)
Michael Lutter, Debora Clever, René Kirsten, Kim Listmann, Jan Peters
Building Skill Learning Systems for Robotics. CASE (2021)
Kai Ploeger, Michael Lutter, Jan Peters
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. CoRL (2020)
Kai Ploeger, Michael Lutter, Jan Peters
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. CoRR (2020)
Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters
Incremental Learning of an Open-Ended Collaborative Skill Library. Int. J. Humanoid Robotics 17 (1) (2020)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. CoRR (2020)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
A Differentiable Newton Euler Algorithm for Multi-body Model Learning. CoRR (2020)
Michael Lutter, Kim Listmann, Jan Peters
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. IROS (2019)
Michael Lutter, Christian Ritter, Jan Peters
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. CoRR (2019)
Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. CoRR (2019)
Michael Lutter, Christian Ritter, Jan Peters
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. ICLR (Poster) (2019)
Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. CoRL (2019)
Michael Lutter, Kim Listmann, Jan Peters
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. CoRR (2019)
Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters
Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Humanoids (2018)