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Markus Wulfmeier
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Reverse curriculum generation for reinforcement learning
C Florensa, D Held, M Wulfmeier, M Zhang, P Abbeel
Conference on robot learning, 482-495, 2017
4522017
Maximum entropy deep inverse reinforcement learning
M Wulfmeier, P Ondruska, I Posner
arXiv preprint arXiv:1507.04888, 2015
4142015
Large-scale cost function learning for path planning using deep inverse reinforcement learning
M Wulfmeier, D Rao, DZ Wang, P Ondruska, I Posner
The International Journal of Robotics Research 36 (10), 1073-1087, 2017
1832017
Watch this: Scalable cost-function learning for path planning in urban environments
M Wulfmeier, DZ Wang, I Posner
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
1362016
Incremental Adversarial Domain Adaptation for Continually Changing Environments
M Wulfmeier, A Bewley, I Posner
arXiv preprint arXiv:1712.07436, 2017
1312017
From motor control to team play in simulated humanoid football
S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ...
Science Robotics 7 (69), eabo0235, 2022
972022
Taco: Learning task decomposition via temporal alignment for control
K Shiarlis, M Wulfmeier, S Salter, S Whiteson, I Posner
International Conference on Machine Learning, 4654-4663, 2018
902018
Addressing appearance change in outdoor robotics with adversarial domain adaptation
M Wulfmeier, A Bewley, I Posner
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
872017
Mutual alignment transfer learning
M Wulfmeier, I Posner, P Abbeel
Conference on Robot Learning, 281-290, 2017
812017
Continuous-discrete reinforcement learning for hybrid control in robotics
M Neunert, A Abdolmaleki, M Wulfmeier, T Lampe, T Springenberg, ...
Conference on Robot Learning, 735-751, 2020
802020
Deep inverse reinforcement learning
M Wulfmeier, P Ondruska, I Posner
CoRR, abs/1507.04888, 2015
772015
Design and implementation of a particle image velocimetry method for analysis of running gear–soil interaction
C Senatore, M Wulfmeier, I Vlahinić, J Andrade, K Iagnemma
Journal of Terramechanics 50 (5-6), 311-326, 2013
582013
Data-efficient hindsight off-policy option learning
M Wulfmeier, D Rao, R Hafner, T Lampe, A Abdolmaleki, T Hertweck, ...
International Conference on Machine Learning, 11340-11350, 2021
372021
The challenges of exploration for offline reinforcement learning
N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ...
arXiv preprint arXiv:2201.11861, 2022
332022
Compositional transfer in hierarchical reinforcement learning
M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ...
arXiv preprint arXiv:1906.11228, 2019
312019
Towards general and autonomous learning of core skills: A case study in locomotion
R Hafner, T Hertweck, P Klöppner, M Bloesch, M Neunert, M Wulfmeier, ...
Conference on Robot Learning, 1084-1099, 2021
302021
Regularized hierarchical policies for compositional transfer in robotics
M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ...
272019
Investigation of stress and failure in granular soils for lightweight robotic vehicle applications
C Senatore, M Wulfmeier, P Jayakumar, J Maclennan, K Iagnemma
the 2012 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS …, 2012
272012
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
T Haarnoja, B Moran, G Lever, SH Huang, D Tirumala, M Wulfmeier, ...
arXiv preprint arXiv:2304.13653, 2023
252023
Is bang-bang control all you need? solving continuous control with bernoulli policies
T Seyde, I Gilitschenski, W Schwarting, B Stellato, M Riedmiller, ...
Advances in Neural Information Processing Systems 34, 27209-27221, 2021
242021
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