Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

@article{ShalevShwartz2016SafeMR,
  title={Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving},
  author={Shai Shalev-Shwartz and Shaked Shammah and Amnon Shashua},
  journal={CoRR},
  year={2016},
  volume={abs/1610.03295}
}
Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving way, merging, taking left and right turns and while pushing ahead in unstructured urban roadways. Since there are many possible scenarios, manually tackling all possible cases will likely yield a too simplistic policy. Moreover, one must balance between unexpected behavior of other drivers/pedestrians and at the same time not to be too… CONTINUE READING
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