Chen Tang

収録論文 25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

• TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations
  2026/6/1
• MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
  2026/5/1
• DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors
  2026/4/1
• Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
  2026/3/12
• Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
  2026/3/1
• TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
  2026/2/1
• SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
  2025/9/1
• ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
  2025/9/1
• CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning
  2025/5/1
• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
  2024/8/1
• WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
  2024/7/1
• Residual-MPPI: Online Policy Customization for Continuous Control
  2024/7/1
• MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
  2024/6/1
• BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
  2024/2/1
• Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
  2024/1/1
• Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
  2023/9/1
• Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
  2023/5/1
• Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
  2023/3/1
• Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
  2022/11/1
• Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
  2022/5/1
• Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction
  2022/4/1
• Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
  2022/3/1
• Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
  2021/11/1
• Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
  2021/2/1
• Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
  2018/12/1