Rowan McAllister

収録論文 14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

• The Impact of Class Uncertainty Propagation in Perception-Based Motion Planning
  2026/2/1
• NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation
  2025/12/1
• Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
  2023/10/1
• In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
  2023/1/1
• RAP: Risk-Aware Prediction for Robust Planning
  2022/10/1
• Control-Aware Prediction Objectives for Autonomous Driving
  2022/4/1
• Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
  2021/4/1
• Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
  2021/4/1
• Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
  2020/6/1
• Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
  2020/4/1
• Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
  2019/5/1
• PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
  2019/5/1
• Deep Imitative Models for Flexible Inference, Planning, and Control
  2018/10/1
• Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
  2018/5/1