Ran Tian

収録論文 23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

• StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
  2026/6/1
• Position: Good Embodied Reward Models Need Bad Behavior Data
  2026/6/1
• Latent Chain-of-Thought World Modeling for End-to-End Driving
  2025/12/1
• Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
  2025/11/1
• Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
  2025/10/30
• AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space
  2025/9/1
• Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control
  2025/6/1
• Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
  2025/3/1
• From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
  2025/2/1
• Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
  2024/12/1
• Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
  2024/7/1
• Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
  2024/7/1
• MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
  2024/6/1
• Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
  2024/3/1
• What Matters to You? Towards Visual Representation Alignment for Robot Learning
  2023/10/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• Towards Modeling and Influencing the Dynamics of Human Learning
  2023/1/1
• Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots
  2021/9/1
• Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
  2021/9/1
• Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios
  2021/6/1
• Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data
  2021/3/1
• Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
  2019/10/1
• Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
  2018/10/1