Jonathan DeCastro

収録論文 15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

• Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving
  2026/6/1
• Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle
  2026/4/1
• On the Strengths and Weaknesses of Data for Open-set Embodied Assistance
  2026/3/1
• Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
  2025/12/1
• Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings
  2025/9/1
• Computational Teaching for Driving via Multi-Task Imitation Learning
  2024/10/1
• Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
  2024/10/1
• Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
  2024/6/1
• Blending Data-Driven Priors in Dynamic Games
  2024/2/1
• NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction
  2023/5/1
• Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
  2023/3/1
• Analyzing Multiagent Interactions in Traffic Scenes via Topological Braids
  2021/9/1
• The Logical Options Framework
  2021/2/1
• Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
  2020/11/1
• Behaviorally Diverse Traffic Simulation via Reinforcement Learning
  2020/11/1