---
format: "aidr-story-markdown/v1"
id: "bebca6424b0efee5984cc8767b7bb73b56d347a483516fbb5ca0dd84cef87475"
canonical_url: "https://aidr.today/bebca642?lang=en"
title: "Computational tools for society’s most complex challenges"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-02T19:30:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://news.mit.edu/2026/computational-tools-for-societys-most-complex-challenges-cathy-wu-1002"]
summary: "Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems."
---

# Computational tools for society’s most complex challenges

> [Open the canonical story](<https://aidr.today/bebca642?lang=en>)

**Published:** 2026-10-02T19:30:00.000Z
**Category:** Research
**Topics:** agent

## Summary

Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems\.

## Sources

- [Story source](<https://news.mit.edu/2026/computational-tools-for-societys-most-complex-challenges-cathy-wu-1002>)