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Multi-Agent Environment for Autonomous Driving
The dataset used in the research paper is a multi-agent environment for training the car agent, allowing it to learn human behaviors through multimodal sensory data. -
Building a Truly Distributed Constraint Solver with JADE
The distributed constraint solver application is based on a local search algorithm called Distributed Penalty-driven Local search (DisPeL) as its underlying constraint solver. -
Spectral Temporal Graph Neural Network for Trajectory Prediction
The SpecTGNN dataset is used for trajectory prediction tasks. It contains historical observations of multiple interactive agents and their environment.