Matthew E. Taylor

収録論文 7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

• An Adaptive Transition Framework for Game-Theoretic Based Takeover
  2025/10/1
• A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
  2025/4/1
• Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation
  2024/10/1
• Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
  2024/5/1
• MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
  2023/12/1
• NeurIPS 2022 Competition: Driving SMARTS
  2022/11/1
• Model-Invariant State Abstractions for Model-Based Reinforcement Learning
  2021/2/1