◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Dieter

2 papers hereh-index 216 citations6 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.MA1

identity via Semantic Scholar / OpenAlex

most citedCollaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings

Justin Dieter, Arun Tejasvi Chaganty

Pretrained (language) embeddings are versatile, task-agnostic feature representations of entities, like words, that are central to many machine learning applications. These represe…

cs.MA2019★ 8 cited

Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning

Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran

There are many AI tasks involving multiple interacting agents where agents should learn to cooperate and collaborate to effectively perform the task. Here we develop and evaluate v…

◍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.