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Found 2 papers, 2 papers with code
Example-guided learning of stochastic human driving policies using deep reinforcement learning
Here we introduce a model-free and easy-to-implement deep reinforcement learning approach to mimic the stochastic behavior of a human expert by learning distributions of task variables from examples.
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars
However, human-controlled vehicles are likely to remain on the roads for several decades to come and may share with AVs the traffic environments of the future.
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