Markus Wulfmeier

収録論文 39本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
  2026/5/1
• An Embodied Companion for Visual Storytelling
  2026/3/1
• What Matters for Simulation to Online Reinforcement Learning on Real Robots
  2026/2/1
• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
  2025/10/1
• Exploiting Policy Idling for Dexterous Manipulation
  2025/8/1
• Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
  2024/5/1
• Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
  2024/4/1
• Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
  2024/2/1
• Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
  2023/12/1
• Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
  2023/12/1
• Replay across Experiments: A Natural Extension of Off-Policy RL
  2023/11/1
• Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
  2023/9/1
• Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
  2023/8/1
• Towards A Unified Agent with Foundation Models
  2023/7/1
• Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
  2023/4/1
• SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
  2022/11/1
• Solving Continuous Control via Q-learning
  2022/10/1
• MO2: Model-Based Offline Options
  2022/9/1
• Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
  2022/4/1
• Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
  2022/3/1
• Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
  2021/12/1
• Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
  2021/12/1
• Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
  2021/11/1
• Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
  2021/9/1
• From Motor Control to Team Play in Simulated Humanoid Football
  2021/5/1
• Representation Matters: Improving Perception and Exploration for Robotics
  2020/11/1
• "What, not how": Solving an under-actuated insertion task from scratch
  2020/10/1
• Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
  2020/8/1
• Data-efficient Hindsight Off-policy Option Learning
  2020/7/1
• Simple Sensor Intentions for Exploration
  2020/5/1
• Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
  2020/1/1
• Compositional Transfer in Hierarchical Reinforcement Learning
  2019/6/1
• Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation
  2019/4/1
• On Machine Learning and Structure for Mobile Robots
  2018/6/1
• Incremental Adversarial Domain Adaptation for Continually Changing Environments
  2017/12/1
• Reverse Curriculum Generation for Reinforcement Learning
  2017/7/1
• Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation
  2017/3/1
• Incorporating Human Domain Knowledge into Large Scale Cost Function Learning
  2016/12/1
• Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments
  2016/7/1