most citedAdaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States

60 citations · 60 across the 1 of their papers we have counts for

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1 paper

cs.LG2018★ 60 cited

Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States

Peter Wolf, Karl Kurzer, Tobias Wingert +2

Making the right decision in traffic is a challenging task that is highly dependent on individual preferences as well as the surrounding environment. Therefore it is hard to model…