深度增强学习已经让人工智能体在很多挑战性的领域可以取得超越人类的表现,例如玩Atari的游戏以及下围棋。这一方法还具有能显著地推进自动驾驶的潜力。Erran Li将会讨论近期在模仿学习方面(例如infoGAIL)、策略梯度法和层次增强学习(例如option-critic架构)等方面的进步,以及它们在自动驾驶方面的应用。Erran接着还会介绍在这个领域需要关注的剩余的挑战。
Dr. Li Erran Li is the chief scientist at Pony.ai and an adjunct professor at Columbia University. Prior to joining Pony.ai, he was with the perception team at Uber ATG and machine learning platform team at Uber. There, Erran worked on deep learning for autonomous driving, led the machine learning platform team technically and drove strategy for company-wide artificial intelligence initiatives. Before Uber, Erran worked at Bell Labs. Dr. Li’s current research interests are machine learning, computer vision, learning-based robotics and their application to autonomous driving. Dr. Li has a PhD from the Computer Science Department at Cornell University. Dr. Li is an IEEE Fellow and an ACM Fellow.
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