A hierarchical DRL architecture generates lane-change commands from occupancy grids for stochastic highway driving and claims improved reliability over end-to-end methods.
End-to-end driving in a realistic racing game with deep reinforcement learning
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A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning
A hierarchical DRL architecture generates lane-change commands from occupancy grids for stochastic highway driving and claims improved reliability over end-to-end methods.