2 papers
cs.LG2020
Stable and Efficient Policy Evaluation
Daoming Lyu, Bo Liu, Matthieu Geist +3
Policy evaluation algorithms are essential to reinforcement learning due to their ability to predict the performance of a policy. However, there are two long-standing issues lying…
cs.SI2019
Optimizing city-scale traffic through modeling observations of vehicle movements
Fan Yang, Alina Vereshchaka, Bruno Lepri +1
The capability of traffic-information systems to sense the movement of millions of users and offer trip plans through mobile phones has enabled a new way of optimizing city traffic…