◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

William Macke

6 papers hereh-index 8318 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.LG1
  • cs.MA1
  • cs.RO1
same name
  • William Macke — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedScalable Multiagent Driving Policies For Reducing Traffic Congestion

10 citations · 17 across the 5 of their papers we have counts for

collaborators
Showing 2021 · cs.AIShow all

3 papers · 2 filters

cs.AI2021★ 3 cited

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction

Yulin Zhang, William Macke, Jiaxun Cui +2

In most modern cities, traffic congestion is one of the most salient societal challenges. Past research has shown that inserting a limited number of autonomous vehicles (AVs) withi…

cs.AI2021

Expected Value of Communication for Planning in Ad Hoc Teamwork

William Macke, Reuth Mirsky, Peter Stone

A desirable goal for autonomous agents is to be able to coordinate on the fly with previously unknown teammates. Known as "ad hoc teamwork", enabling such a capability has been rec…

cs.AI2021★ 10 cited

Scalable Multiagent Driving Policies For Reducing Traffic Congestion

Jiaxun Cui, William Macke, Harel Yedidsion +2

Traffic congestion is a major challenge in modern urban settings. The industry-wide development of autonomous and automated vehicles (AVs) motivates the question of how can AVs con…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.