4 datasets found

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.

The distributed constraint solver application is based on a local search algorithm called Distributed Penalty-driven Local search (DisPeL) as its underlying constraint solver.

A Multi-Agent Reinforcement Learning (MARL) framework for cooperative data collection to build a 3D mapping of the disaster scene using agents present around the incident zone...

The SpecTGNN dataset is used for trajectory prediction tasks. It contains historical observations of multiple interactive agents and their environment.