Markus Wulfmeier

88 papers A* 13A 4C 1Misc 7Journal 56Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Embodied Companion for Visual Storytelling. CoRR Patrick Tresset, Markus Wulfmeier
2026	J	`jnl`	What Matters for Simulation to Online Reinforcement Learning on Real Robots. CoRR Yarden As, Dhruva Tirumala, René Zurbrügg, Chenhao Li, Stelian Coros, Andreas Krause, Markus Wulfmeier
2025	A*	`conf`	EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control. ICML Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess
2025	A	`conf`	Exploiting Policy Idling for Dexterous Manipulation. IROS Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy Han Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025	J	`jnl`	Exploiting Policy Idling for Dexterous Manipulation. CoRR Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao
2025	J	`jnl`	Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping. CoRR Jonas Buchli, Brendan D. Tracey, Tomislav Andric, Christopher Wipf, Yu Him Justin Chiu, Matthias Lochbrunner, Craig Donner, Rana X. Adhikari, Jan Harms, Iain Barr, Roland Hafner, Andrea Huber, Abbas Abdolmaleki, Charlie Beattie, Joseph Betzwieser, Serkan Cabi, Jonas Degrave, Yuzhu Dong, Leslie Fritz, Anchal Gupta, Oliver Groth, Sandy H. Huang, Tamara Norman, Hannah Openshaw, Jameson Rollins, Greg Thornton, George Van Den Driessche, Markus Wulfmeier, Pushmeet Kohli, Martin A. Riedmiller, LIGO Instrument Team
2025	J	`jnl`	Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs. CoRR Sonia K. Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer D. Ullman
2025	J	`jnl`	LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities. CoRR Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu
2025	J	`jnl`	The AI Imperative: Scaling High-Quality Peer Review in Machine Learning. CoRR Qiyao Wei, Samuel Holt, Jing Yang, Markus Wulfmeier, Mihaela van der Schaar
2025	J	`jnl`	Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement. CoRR Michael Bloesch, Markus Wulfmeier, Philemon Brakel, Todor Davchev, Martina Zambelli, Jost Tobias Springenberg, Abbas Abdolmaleki, William F. Whitney, Nicolas Heess, Roland Hafner, Martin A. Riedmiller
2024	J	`jnl`	Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
2024	—	`conf`	Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
2024	A*	`conf`	Imitating Language via Scalable Inverse Reinforcement Learning. NeurIPS Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	J	`jnl`	Imitating Language via Scalable Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller
2024	Misc	`conf`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRL Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess
2024	J	`jnl`	Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. CoRR Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess
2024	J	`jnl`	Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2024	A*	`conf`	Massively Scalable Inverse Reinforcement Learning in Google Maps. ICLR Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2024	A*	`conf`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2024	J	`jnl`	Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning. CoRR Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
2024	—	`conf`	Real-world fluid directed rigid body control via deep reinforcement learning. L4DC Mohak Bhardwaj, Thomas Lampe, Michael Neunert, Francesco Romano, Abbas Abdolmaleki, Arunkumar Byravan, Markus Wulfmeier, Martin A. Riedmiller, Jonas Buchli
2024	A*	`conf`	Replay across Experiments: A Natural Extension of Off-Policy RL. ICLR Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier
2023	J	`jnl`	Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
2023	J	`jnl`	Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities. CoRR Markus Wulfmeier, Arunkumar Byravan, Sarah Bechtle, Karol Hausman, Nicolas Heess
2023	J	`jnl`	Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
2023	J	`jnl`	Massively Scalable Inverse Reinforcement Learning in Google Maps. CoRR Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2023	J	`jnl`	Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
2023	J	`jnl`	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2023	J	`jnl`	Replay across Experiments: A Natural Extension of Off-Policy RL. CoRR Dhruva Tirumala, Thomas Lampe, José Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier
2023	J	`jnl`	SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. Trans. Mach. Learn. Res. Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2023	A*	`conf`	Solving Continuous Control via Q-learning. ICLR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2023	J	`jnl`	Towards A Unified Agent with Foundation Models. CoRR Norman Di Palo, Arunkumar Byravan, Leonard Hasenclever, Markus Wulfmeier, Nicolas Heess, Martin A. Riedmiller
2022	—	`conf`	Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data. CoLLAs Wenxuan Zhou, Steven Bohez, Jan Humplik, Nicolas Heess, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja
2022	J	`jnl`	From motor control to team play in simulated humanoid football. Sci. Robotics Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022	J	`jnl`	Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. CoRR Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess
2022	A*	`conf`	Learning transferable motor skills with hierarchical latent mixture policies. ICLR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2022	—	`conf`	MO2: Model-Based Offline Options. CoLLAs Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
2022	J	`jnl`	MO2: Model-Based Offline Options. CoRR Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao
2022	J	`jnl`	Offline Distillation for Robot Lifelong Learning with Imbalanced Experience. CoRR Wenxuan Zhou, Steven Bohez, Jan Humplik, Abbas Abdolmaleki, Dushyant Rao, Markus Wulfmeier, Tuomas Haarnoja, Nicolas Heess
2022	J	`jnl`	SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. CoRR Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin A. Riedmiller
2022	J	`jnl`	Solving Continuous Control via Q-learning. CoRR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2022	J	`jnl`	The Challenges of Exploration for Offline Reinforcement Learning. CoRR Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller
2022	A*	`conf`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. ICLR Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2021	A*	`conf`	Data-efficient Hindsight Off-policy Option Learning. ICML Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2021	J	`jnl`	From Motor Control to Team Play in Simulated Humanoid Football. CoRR Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021	A*	`conf`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration. CoRR Oliver Groth, Markus Wulfmeier, Giulia Vezzani, Vibhavari Dasagi, Tim Hertweck, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2021	J	`jnl`	Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. CoRR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2021	—	`conf`	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius
2021	A*	`conf`	Representation Matters: Improving Perception and Exploration for Robotics. ICRA Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2021	Misc	`conf`	Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. CoRR Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2020	J	`jnl`	"What, not how": Solving an under-actuated insertion task from scratch. CoRR Giulia Vezzani, Michael Neunert, Markus Wulfmeier, Rae Jeong, Thomas Lampe, Noah Y. Siegel, Roland Hafner, Abbas Abdolmaleki, Martin A. Riedmiller, Francesco Nori
2020	Misc	`conf`	Attention-Privileged Reinforcement Learning. CoRL Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2020	—	`conf`	Compositional Transfer in Hierarchical Reinforcement Learning. Robotics: Science and Systems Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Noah Y. Siegel, Tim Hertweck, Thomas Lampe, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRR Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Data-efficient Hindsight Off-policy Option Learning. CoRR Markus Wulfmeier, Dushyant Rao, Roland Hafner, Thomas Lampe, Abbas Abdolmaleki, Tim Hertweck, Michael Neunert, Dhruva Tirumala, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Representation Matters: Improving Perception and Exploration for Robotics. CoRR Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin A. Riedmiller
2020	J	`jnl`	Simple Sensor Intentions for Exploration. CoRR Tim Hertweck, Martin A. Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Y. Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess
2020	Misc	`conf`	Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRL Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRR Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
2019	J	`jnl`	Attention Privileged Reinforcement Learning For Domain Transfer. CoRR Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2019	Misc	`conf`	Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. CoRL Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller
2019	J	`jnl`	Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
2019	J	`jnl`	Efficient Supervision for Robot Learning Via Imitation, Simulation, and Adaptation. Künstliche Intell. Markus Wulfmeier
2019	J	`jnl`	Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation. CoRR Markus Wulfmeier
2019	J	`jnl`	Regularized Hierarchical Policies for Compositional Transfer in Robotics. CoRR Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	A	`conf`	Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. BMVC Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2018	—	`—`	Efficient supervision for robot learning via imitation, simulation, and adaptation. Markus Wulfmeier
2018	A*	`conf`	Incremental Adversarial Domain Adaptation for Continually Changing Environments. ICRA Markus Wulfmeier, Alex Bewley, Ingmar Posner
2018	J	`jnl`	Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. CoRR Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2018	J	`jnl`	On Machine Learning and Structure for Mobile Robots. CoRR Markus Wulfmeier
2018	A*	`conf`	TACO: Learning Task Decomposition via Temporal Alignment for Control. ICML Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2018	J	`jnl`	TACO: Learning Task Decomposition via Temporal Alignment for Control. CoRR Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2017	J	`jnl`	Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation. CoRR Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	A	`conf`	Addressing appearance change in outdoor robotics with adversarial domain adaptation. IROS Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Incremental Adversarial Domain Adaptation. CoRR Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Large-scale cost function learning for path planning using deep inverse reinforcement learning. Int. J. Robotics Res. Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner
2017	Misc	`conf`	Mutual Alignment Transfer Learning. CoRL Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
2017	J	`jnl`	Mutual Alignment Transfer Learning. CoRR Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
2017	Misc	`conf`	Reverse Curriculum Generation for Reinforcement Learning. CoRL Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel
2017	J	`jnl`	Reverse Curriculum Generation for Reinforcement Learning. CoRR Carlos Florensa, David Held, Markus Wulfmeier, Pieter Abbeel
2016	J	`jnl`	Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. CoRR Markus Wulfmeier, Dushyant Rao, Ingmar Posner
2016	J	`jnl`	Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments. CoRR Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner
2016	A	`conf`	Watch this: Scalable cost-function learning for path planning in urban environments. IROS Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner
2015	J	`jnl`	Deep Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Peter Ondruska, Ingmar Posner
2014	C	`conf`	Voronoi-Based Heuristic for Nonholonomic Search-Based Path Planning. IAS Qi Wang, Markus Wulfmeier, Bernardo Wagner