◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Dana S. Nau

University of Maryland

5 papers hereh-index 5717.4k citations394 works total

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

author position
  • first author1
  • middle author2
  • last author2

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

fields
  • cs.AI4
  • q-bio.PE1
affiliations
  • University of Maryland
Homepage
same name
  • Dana S. Nau — 3 papers, h 1
  • Dana S. Nau — 1 paper, h 2

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
20112020
most citedSHOP2: An HTN Planning System

943 citations · 943 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2020

Integrating Acting, Planning and Learning in Hierarchical Operational Models

Sunandita Patra, James Mason, Amit Kumar +3

We present new planning and learning algorithms for RAE, the Refinement Acting Engine. RAE uses hierarchical operational models to perform tasks in dynamically changing environment…

cs.AI2013

An Evaluation of Two Alternatives to Minimax

Dana Nau, Paul Purdom, Chun-Hung Tzeng

In the field of Artificial Intelligence, traditional approaches to choosing moves in games involve the we of the minimax algorithm. However, recent research results indicate that m…

cs.AI2013

Predicting The Performance of Minimax and Product in Game-Tree

Ping-Chung Chi, Dana Nau

The discovery that the minimax decision rule performs poorly in some games has sparked interest in possible alternatives to minimax. Until recently, the only games in which minimax…

cs.AI2011★ 943 cited

SHOP2: An HTN Planning System

T. C. Au, O. Ilghami, U. Kuter +4

The SHOP2 planning system received one of the awards for distinguished performance in the 2002 International Planning Competition. This paper describes the features of SHOP2 which…

◍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.