Thomas Lampe

収録論文 24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

• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
  2025/10/1
• ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
  2025/6/1
• Gemini Robotics: Bringing AI into the Physical World
  2025/3/1
• Game On: Towards Language Models as RL Experimenters
  2024/9/1
• Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
  2024/2/1
• Offline Actor-Critic Reinforcement Learning Scales to Large Models
  2024/2/1
• Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
  2023/12/1
• Replay across Experiments: A Natural Extension of Off-Policy RL
  2023/11/1
• RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
  2023/6/1
• SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
  2022/11/1
• How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
  2022/5/1
• Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
  2021/10/1
• 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
• Data-efficient Hindsight Off-policy Option Learning
  2020/7/1
• Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
  2020/2/1
• Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
  2020/1/1
• Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
  2019/10/1
• Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
  2019/10/1
• Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
  2019/10/1
• Compositional Transfer in Hierarchical Reinforcement Learning
  2019/6/1
• Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup
  2019/2/1
• Learning by Playing - Solving Sparse Reward Tasks from Scratch
  2018/2/1
• Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
  2017/4/1