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Markus Wulfmeier

  1. From Motor Control to Team Play in Simulated Humanoid Football
    2021/05/25 by Siqi Liu, Guy Lever, Liu, Siqi +45 · 2 voices · 11 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Action Observation and Synchronization #Human Pose and Action Recognition #Sports Analytics and Performance #cs.AI #cs.MA #cs.NE #cs.RO
  2. Reverse Curriculum Generation for Reinforcement Learning
    2017/07/17 by Carlos Florensa, Florensa, Carlos, David Held +7 · 62 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Adversarial Robustness in Machine Learning
  3. Learning agile soccer skills for a bipedal robot with deep reinforcement learning
    2023/04/26 by Tuomas Haarnoja, Ben Moran, Guy Lever +26 · 2 voices · 9 citations
    Computer Science · Engineering · #Muscle activation and electromyography studies #Reinforcement Learning in Robotics #Robotic Locomotion and Control #cs.AI #cs.LG #cs.RO
  4. Maximum Entropy Deep Inverse Reinforcement Learning
    2015/07/17 by Markus Wulfmeier, Peter Ondrúška, Wulfmeier, Markus +3 · 29 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  5. Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
    2020/01/02 by Michael Neunert, Abbas Abdolmaleki, Neunert, Michael +17 · 1 voice · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Viral Infectious Diseases and Gene Expression in Insects #cs.LG #cs.RO #stat.ML
  6. TACO: Learning Task Decomposition via Temporal Alignment for Control
    2018/03/02 by Kyriacos Shiarlis, Shiarlis, Kyriacos, Markus Wulfmeier +7 · 9 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #AI-based Problem Solving and Planning
  7. Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
    2021/11/03 by Tim Seyde, Seyde, Tim, Igor Gilitschenski +11 · 7 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Smart Grid Energy Management #Smart Grid Security and Resilience
  8. LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
    2025/04/22 by Thomas Schmied, Jörg Bornschein, Schmied, Thomas +7 · 5 voices · 18 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Simulation Techniques and Applications #cs.AI #cs.LG
  9. Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
    2022/03/31 by Steven Bohez, Bohez, Steven, Saran Tunyasuvunakool +39 · 5 citations
    Computer Science · Engineering · Medicine · #Adipose Tissue and Metabolism #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotic Locomotion and Control #Robotics (cs.RO)
  10. Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
    2024/05/03 by Dhruva Tirumala, Markus Wulfmeier, Tirumala, Dhruva +29 · 9 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Reinforcement Learning in Robotics #Robotics (cs.RO)
  11. Solving Continuous Control via Q-learning
    2022/10/22 by Tim Seyde, Seyde, Tim, P. Werner +11 · 5 citations
    Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  12. Learning Transferable Motor Skills with Hierarchical Latent Mixture\n Policies
    2021/12/09 by Dushyant Rao, Fereshteh Sadeghi, Rao, Dushyant +19 · 4 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  13. Mutual Alignment Transfer Learning
    2017/07/25 by Markus Wulfmeier, Wulfmeier, Markus, Ingmar Posner +3 · 4 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Topic Modeling
  14. Imitating Language via Scalable Inverse Reinforcement Learning
    2024/09/02 by Markus Wulfmeier, Wulfmeier, Markus, Michael Bloesch +29 · 6 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
  15. Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
    2023/12/18 by Thomas Lampe, Abbas Abdolmaleki, Lampe, Thomas +27 · 5 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  16. Towards A Unified Agent with Foundation Models
    2023/07/18 by Norman Di Palo, Arunkumar Byravan, Di Palo, Norman +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO)
  17. The Challenges of Exploration for Offline Reinforcement Learning
    2022/01/27 by Nathan Lambert, Markus Wulfmeier, Lambert, Nathan +13 · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  18. Watch This: Scalable Cost-Function Learning for Path Planning in Urban\n Environments
    2016/07/08 by Markus Wulfmeier, Dominic Zeng Wang, Wulfmeier, Markus +3 · 1 citation
    Engineering · Computer Science · #Autonomous Vehicle Technology and Safety #Robotic Path Planning Algorithms #Robotics and Sensor-Based Localization
  19. Simple Sensor Intentions for Exploration
    2020/05/15 by Tim Hertweck, Martin Riedmiller, Hertweck, Tim +13 · 1 voice · 2 citations
    Computer Science · Mathematics · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Robotics (cs.RO) #cs.AI #cs.LG #cs.RO #stat.ML
  20. Incremental Adversarial Domain Adaptation for Continually Changing\n Environments
    2017/12/20 by Markus Wulfmeier, Wulfmeier, Markus, Alex Bewley +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Robotics (cs.RO)
  21. Replay across Experiments: A Natural Extension of Off-Policy RL
    2023/11/27 by Dhruva Tirumala, Thomas Lampe, Tirumala, Dhruva +21 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Robotics (cs.RO)
  22. Cognitive models can reveal interpretable value trade-offs in language models
    2025/06/25 by Sonia K. Murthy, Murthy, Sonia K., Rosie Zhao +13 · 3 voices
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies
  23. Disentangled Cumulants Help Successor Representations Transfer to New Tasks
    2019/11/25 by Christopher Grimm, Irina Higgins, Grimm, Christopher +13 · 3 citations
    Computer Science · Neuroscience · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Reinforcement Learning in Robotics
  24. Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem
    2025/06/09 by Qiyao Wei, Samuel Holt, Wei, Qiyao +7 · 3 citations
    Computer Science · Decision Sciences · Medicine · #68T07 #68T50 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Expert finding and Q&A systems #FOS: Computer and information sciences #H.5.3 #I.2.7 #Scientific Computing and Data Management
  25. Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
    2024/04/05 by Tim Seyde, Seyde, Tim, Peter Werner +7 · 1 citation
    Computer Science · Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
  26. Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
    2023/12/04 by Markus Wulfmeier, Wulfmeier, Markus, Arunkumar Byravan +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Software Engineering Research