matomEmotam

読んだ論文のまとめ

---

Project maintained by KohMat Hosted on GitHub Pages — Theme by mattgraham

読んだ論文のリストとまとめ

• VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
• PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
• DEEP IMITATIVE MODELS FOR FLEXIBLE INFERENCE, PLANNING, AND CONTROL
• Interpretable Goal-based Prediction and Planning for Autonomous Driving
• Manipulator-Independent Representations for Visual Imitation
• DSDNet: Deep Structured self-Driving Network
• SPAGNN Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
• PARROT: DATA-DRIVEN BEHAVIORAL PRIORS FOR REINFORCEMENT LEARNING
• Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
• Deep Structured Reactive Planning
• R2P2: A reparameterized pushforward policy for diverse, precise generative path forecasting
• Can autonomous vehicles identify, recover from, and adapt to distribution shifts
• SCENE TRANSFORMER: A UNIFIED ARCHITECTURE FOR PREDICTING MULTIPLE AGENT TRAJECTORIES
• Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
• Multimodal Motion Prediction with Stacked Transformers
• PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
• Jointly learnable behavior and trajectory planning for self-driving vehicles
• LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving