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WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving

机译:WiseMove:研究自动驾驶安全深度强化学习的框架

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摘要

WiseMove is a platform to investigate safe deep reinforcement learning (DRL) in the context of motion planning for autonomous driving. It adopts a modular architecture that mirrors our autonomous vehicle software stack and can interleave learned and programmed components. Our initial investigation focuses on a state-of-the-art DRL approach from the literature, to quantify its safety and scalability in simulation, and thus evaluate its potential use on our vehicle.
机译:WiseMove是一个在自动驾驶运动计划的背景下研究安全深度强化学习(DRL)的平台。它采用了模块化架构,该架构反映了我们的自动驾驶汽车软件堆栈,并且可以交错学习和编程的组件。我们的初步研究着重于文献中的最新DRL方法,以量化其在仿真中的安全性和可扩展性,从而评估其在车辆上的潜在用途。

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