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Jorge Silva

2 accepted papers

2022

On the Interplay between Information Loss and Operation Loss in Representations for Classification

AISTATS 2022poster

Information-theoretic measures have been widely adopted in the design of features for learning and decision problems. Inspired by this, we look at the relationship between i) a weak form of information loss in the Shannon sense and ii) operational loss in the minimum probability of error (MPE) sense…

Cited by 4SourcePDFScholar
2020

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

NeurIPS 2020poster

We propose AttendLight, an end-to-end Reinforcement Learning (RL) algorithm for the problem of traffic signal control. Previous approaches for this problem have the shortcoming that they require training for each new intersection with a different structure or traffic flow distribution. AttendLight s…