ML Anthology

Lutter, Michael

7 publications

ICLR 2023 Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters
ICLRW 2022 Revisiting Model-Based Value Expansion Daniel Palenicek, Michael Lutter, Jan Peters
ICML 2021 Value Iteration in Continuous Actions, States and Time Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
ICLRW 2020 Differential Equations as a Model Prior for Deep Learning and Its Applications in Robotics Michael Lutter, Jan Peters
CoRL 2020 High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Kai Ploeger, Michael Lutter, Jan Peters
ICLR 2019 Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning Michael Lutter, Christian Ritter, Jan Peters
CoRL 2019 HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters