NeurIPS 2020

AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control

Meta Review

There was a consensus among reviewers that the paper should be accepted. The paper provides a novel application of attention-based networks to traffic light control. The universality of the architecture allows out-of-the box application of a trained policy to new intersections without the need for adaptation. Overall, this paper seems to have the potential to have a strong impact.