• Corpus ID: 243847631

Towards Learning Generalizable Driving Policies from Restricted Latent Representations

@article{Toghi2021TowardsLG,
  title={Towards Learning Generalizable Driving Policies from Restricted Latent Representations},
  author={Behrad Toghi and Rodolfo Valiente and Ramtin Pedarsani and Yaser P. Fallah},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.03688}
}
—Training intelligent agents that can drive au- tonomously in various urban and highway scenarios has been a hot topic in the robotics society within the last decades. However, the diversity of driving environments in terms of road topology and positioning of the neighboring vehicles makes this problem very challenging. It goes without saying that although scenario-specific driving policies for autonomous driving are promising and can improve transportation safety and efficiency, they are not a… 
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