2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
ECCV 2018poster
Autonomous urban driving navigation with complex multi-agent dynamics is under-explored due to the difficulty of learning an optimal driving policy. The traditional modular pipeline heavily relies on hand-designed rules and the pre-processing perception system while the supervised learning-based mod…