Haochen Liu

収録論文 17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

• Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments
  2026/6/1
• World Engine: Towards the Era of Post-Training for Autonomous Driving
  2026/6/1
• Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
  2026/6/1
• Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
  2026/5/1
• SimScale: Learning to Drive via Real-World Simulation at Scale
  2025/11/1
• DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
  2025/10/1
• Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
  2025/6/1
• Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles
  2024/12/1
• Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
  2024/9/1
• Hybrid-Prediction Integrated Planning for Autonomous Driving
  2024/2/1
• Occupancy Prediction-Guided Neural Planner for Autonomous Driving
  2023/5/1
• GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
  2023/3/1
• Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
  2023/2/1
• Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
  2022/12/1
• Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
  2022/8/1
• Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
  2022/7/1
• Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
  2021/2/1