Affordance-based Reinforcement Learning for Urban Driving

15 Jan 2021 Tanmay Agarwal Hitesh Arora Jeff Schneider

Traditional autonomous vehicle pipelines that follow a modular approach have been very successful in the past both in academia and industry, which has led to autonomy deployed on road. Though this approach provides ease of interpretation, its generalizability to unseen environments is limited and hand-engineering of numerous parameters is required, especially in the prediction and planning systems... (read more)

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