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CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
With this dataset, we train a return-conditioned multi-agent behaviour model that allows for fine-grained manipulation of agent behaviours by modifying the desired returns for the various reward components.
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
In this work, we address the problem of generating a set of scene-level, or joint, future trajectory predictions in multi-agent driving scenarios.
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition
In adversarial machine learning, the popular $\ell_\infty$ threat model has been the focus of much previous work.
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Detecting OOD inputs is challenging and essential for the safe deployment of models.
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