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Markus Wulfmeier
Representation Matters: Improving Perception and Exploration for Robotics

Nov 03, 2020
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin Riedmiller


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

Oct 30, 2020
Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Siegel, Roland Hafner, Abbas Abdolmaleki, Martin Riedmiller, Francesco Nori


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

Aug 06, 2020
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin Riedmiller


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Data-efficient Hindsight Off-policy Option Learning

Jul 30, 2020
Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Siegel, Nicolas Heess, Martin Riedmiller


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Simple Sensor Intentions for Exploration

May 15, 2020
Tim Hertweck, Martin Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess


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Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics

Jan 02, 2020
Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin Riedmiller

* Presented at the 3rd Conference on Robot Learning (CoRL 2019), Osaka, Japan. Video: https://youtu.be/eUqQDLQXb7I 
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Disentangled Cumulants Help Successor Representations Transfer to New Tasks

Nov 25, 2019
Christopher Grimm, Irina Higgins, Andre Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh


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Attention Privileged Reinforcement Learning For Domain Transfer

Nov 19, 2019
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner


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Regularized Hierarchical Policies for Compositional Transfer in Robotics

Jun 27, 2019
Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Siegel, Nicolas Heess, Martin Riedmiller

* Preprint. Under review. Addressed typos 
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Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation

Apr 15, 2019
Markus Wulfmeier

* Dissertation Summary 
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TACO: Learning Task Decomposition via Temporal Alignment for Control

Aug 10, 2018
Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner

* 12 Pages. Published at ICML 2018 
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Reverse Curriculum Generation for Reinforcement Learning

Jul 23, 2018
Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

* Published at the 1st Conference on Robot Learning (CoRL 2017) 
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On Machine Learning and Structure for Mobile Robots

Jun 15, 2018
Markus Wulfmeier

* Informal Review 
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Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing

Jun 15, 2018
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner


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Incremental Adversarial Domain Adaptation for Continually Changing Environments

Feb 24, 2018
Markus Wulfmeier, Alex Bewley, Ingmar Posner

* International Conference on Robotics and Automation 2018 
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Mutual Alignment Transfer Learning

Sep 26, 2017
Markus Wulfmeier, Ingmar Posner, Pieter Abbeel


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Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation

Sep 17, 2017
Markus Wulfmeier, Alex Bewley, Ingmar Posner

* In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) 
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Incorporating Human Domain Knowledge into Large Scale Cost Function Learning

Dec 13, 2016
Markus Wulfmeier, Dushyant Rao, Ingmar Posner

* Neural Information Processing Systems 2016, Deep Reinforcement Learning Workshop 
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Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments

Jul 08, 2016
Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner

* Accepted for publication in the Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) 
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Maximum Entropy Deep Inverse Reinforcement Learning

Mar 11, 2016
Markus Wulfmeier, Peter Ondruska, Ingmar Posner


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