Wenhao Ding

収録論文 31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

• Cosmos 3: Omnimodal World Models for Physical AI
  2026/6/1
• StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
  2026/6/1
• Planning-aligned Token Compression for Long-Context Autonomous Driving
  2026/6/1
• Accelerating Structured Chain-of-Thought in Autonomous Vehicles
  2026/2/1
• The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms
  2026/1/1
• Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning
  2025/12/1
• Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
  2025/11/1
• 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
• Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators
  2025/7/1
• Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives
  2025/5/1
• RealDrive: Retrieval-Augmented Driving with Diffusion Models
  2025/5/1
• CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
  2025/5/1
• Surprise Potential as a Measure of Interactivity in Driving Scenarios
  2025/2/1
• CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
  2024/3/1
• Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
  2023/11/1
• Privacy Risks in Reinforcement Learning for Household Robots
  2023/6/1
• What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery
  2023/6/1
• Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
  2023/5/1
• Critical Scenario Generation for Developing Trustworthy Autonomy
  2023/5/1
• Learning to View: Decision Transformers for Active Object Detection
  2023/1/1
• Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
  2022/7/1
• SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
  2022/6/1
• A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
  2022/2/1
• Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
  2020/9/1
• Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
  2020/6/1
• Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
  2020/3/1
• CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
  2019/10/1
• A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
  2018/9/1
• Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
  2018/7/1
• Vehicle Pose and Shape Estimation through Multiple Monocular Vision
  2018/2/1