Modeling Human Driving Behavior through Generative Adversarial Imitation Learning

10 Jun 2020Raunak BhattacharyyaBlake WulfeDerek PhillipsAlex KueflerJeremy MortonRansalu SenanayakeMykel Kochenderfer

Imitation learning is an approach for generating intelligent behavior when the cost function is unknown or difficult to specify. Building upon work in inverse reinforcement learning (IRL), Generative Adversarial Imitation Learning (GAIL) aims to provide effective imitation even for problems with large or continuous state and action spaces... (read more)

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