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Charles Gretton

Automated Planning Automated Reasoning Machine Learning
Australian National University (ANU) School of Computing

About

I am an Associate Professor in the School of Computing, and Director of Attention and Innovation at the Integrated AI Network. My research is on Automated Planning, Automated Reasoning, and Machine Learning.

Research Performance Summary

83
Total Papers
1276
Total Citations
17
H-Index
2003-2025
Active Research Span

First Recorded Paper

NMRDPP: a system for decision-theoretic planning with non-Markovian rewards

Year: 2003

Citations: 7

Venue: Proc. ICAPS Workshop on Planning under Uncertainty and Incomplete

Latest Recorded Paper

Augmentation and Transformation for Nighttime Cloud Segmentation in All-Sky Camera Images

Year: 2025

Citations: 0

Venue: Australasian Joint Conference on Artificial Intelligence

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
3
2024
4
2023
4
2022
3
2020
1
2019
9
2018
3
2017
4
2016
1
2015
8
2014
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 36
Journal 6
Book 5

Top Coauthors

Gretton Norrish Pham

Research Impact by Period

2025-2026

Period Stats
Papers 3
Citations 4
Avg. Citations / Paper 1.3
H-Index 2

2020-2024

Period Stats
Papers 12
Citations 62
Avg. Citations / Paper 5.2
H-Index 4

2015-2019

Period Stats
Papers 25
Citations 340
Avg. Citations / Paper 13.6
H-Index 7

2010-2014

Period Stats
Papers 20
Citations 355
Avg. Citations / Paper 17.8
H-Index 9

2005-2009

Period Stats
Papers 19
Citations 502
Avg. Citations / Paper 26.4
H-Index 10

2000-2004

Period Stats
Papers 4
Citations 13
Avg. Citations / Paper 3.2
H-Index 2

Contact and Professional Links

Contact Information

charles.gretton@anu.edu.au
61261254001

Detected Research Keywords

Decision Theoretic Planning Stochastic Local Search Theoretic Planning Markovian Planning Markovian Rewards Local Search Satisfiability Image Image Translation Mechanising Theoretical Upper Theoretical Upper Bounds Upper Bounds Planning Exploiting First Order