RoboCupSimData: A RoboCup soccer research dataset

@article{Michael2017RoboCupSimDataAR,
  title={RoboCupSimData: A RoboCup soccer research dataset},
  author={O. Michael and Oliver Obst and F. Schmidsberger and F. Stolzenburg},
  journal={ArXiv},
  year={2017},
  volume={abs/1711.01703}
}
RoboCup is an international scientific robot competition in which teams of multiple robots compete against each other. Its different leagues provide many sources of robotics data, that can be used for further analysis and application of machine learning. This paper describes a large dataset from games of some of the top teams (from 2016 and 2017) in RoboCup Soccer Simulation League (2D), where teams of 11 robots (agents) compete against each other. Overall, we used 10 different teams to play… Expand
Multi-Agent Imitation Learning with Copulas
Predictive Neural Networks

References

SHOWING 1-10 OF 13 REFERENCES
RoboCup: A Challenge Problem for AI
Soccer Server: A Tool for Research on Multiagent Systems
STARDATA: A StarCraft AI Research Dataset
Analysing Soccer Games with Clustering and Conceptors
On the Progress of Soccer Simulation Leagues
Qualitative Velocity and Ball Interception
Learning responsive robot behavior by imitation
Probabilistic self-localization for mobile robots
  • C. Olson
  • Computer Science
  • IEEE Trans. Robotics Autom.
  • 2000
The Canadian planetary emulation terrain 3D mapping dataset
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