Matteo Turchetta

収録論文 10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

• Safe Guaranteed Exploration for Non-linear Systems
  2024/2/1
• Near-Optimal Multi-Agent Learning for Safe Coverage Control
  2022/10/1
• GoSafe: Globally Optimal Safe Robot Learning
  2021/5/1
• Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
  2021/1/1
• Safe Reinforcement Learning via Curriculum Induction
  2020/6/1
• Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
  2019/10/1
• Safe Exploration for Interactive Machine Learning
  2019/10/1
• Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
  2018/5/1
• Learning-based Model Predictive Control for Safe Exploration
  2018/3/1
• Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
  2016/6/1