Cameron Foale

601 total citations
22 papers, 360 citations indexed

About

Cameron Foale is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Cameron Foale has authored 22 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 2 papers in Control and Systems Engineering. Recurrent topics in Cameron Foale's work include Reinforcement Learning in Robotics (8 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Cameron Foale is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Cameron Foale collaborates with scholars based in Australia, United States and Chile. Cameron Foale's co-authors include Peter Vamplew, Richard Dazeley, Francisco Cruz, Jane Mummery, Sally Firmin, Charlotte Young, Sunil Aryal, Scott A. Dulchavsky, David S. Martin and Ashot E. Sargsyan and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and Neural Computing and Applications.

In The Last Decade

Cameron Foale

22 papers receiving 338 citations

Peers

Countries citing papers authored by Cameron Foale

Since Specialization

Citations

This map shows the geographic impact of Cameron Foale's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cameron Foale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Foale more than expected).

Fields of papers citing papers by Cameron Foale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron Foale. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cameron Foale. The network helps show where Cameron Foale may publish in the future.

Co-authorship network of co-authors of Cameron Foale

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron Foale. A scholar is included among the top collaborators of Cameron Foale based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cameron Foale. Cameron Foale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Simulation of the December 2021 Marshall fire with a hybrid stochastic Lagrangian-cellular automata model 2023 ·Fire Safety Journal ·(unknown), Savvas Gkantonas, Andrea Giusti, Epaminondas Mastorakos, Cameron Foale, (unknown)	5
2	A NetHack Learning Environment Language Wrapper for Autonomous Agents 2023 ·Journal of Open Research Software ·N.M. Goodger, Peter Vamplew, Cameron Foale, Richard Dazeley	1
3	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021) 2022 ·Autonomous Agents and Multi-Agent Systems ·Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Rădulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter Libin, Richard Dazeley, Cameron Foale	18
4	Human engagement providing evaluative and informative advice for interactive reinforcement learning 2022 ·Neural Computing and Applications ·(unknown), Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale	12
5	Statistical Calibration of Long-Term Reanalysis Data for Australian Fire Weather Conditions 2022 ·Journal of Applied Meteorology and Climatology ·(unknown), Savin S. Chand, Andrew Dowdy, Wendy Wright, Cameron Foale, (unknown), (unknown)	3
6	An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users 2021 ·Biomimetics ·(unknown), Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale	8
7	Discrete-to-deep reinforcement learning methods 2021 ·Neural Computing and Applications ·(unknown), Peter Vamplew, (unknown), Richard Dazeley, Cameron Foale	1
8	Levels of explainable artificial intelligence for human-aligned conversational explanations 2021 ·Artificial Intelligence ·Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz	69
9	Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety 2021 ·Engineering Applications of Artificial Intelligence ·Peter Vamplew, Cameron Foale, Richard Dazeley, (unknown)	11
10	Non-functional regression: A new challenge for neural networks 2018 ·Neurocomputing ·Peter Vamplew, Richard Dazeley, Cameron Foale, Tanveer Choudhury	1
11	Modeling neurocognitive reaction time with gamma distribution 2018 ·Proceedings of the Australasian Computer Science Week Multiconference ·(unknown), Madhu Chetty, Cameron Foale, Sunil Aryal, Britt Klein	3
12	Steering approaches to Pareto-optimal multiobjective reinforcement learning 2017 ·Neurocomputing ·Peter Vamplew, (unknown), Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, (unknown)	22
13	Softmax exploration strategies for multiobjective reinforcement learning 2017 ·Neurocomputing ·Peter Vamplew, Richard Dazeley, Cameron Foale	39
14	Human-aligned artificial intelligence is a multiobjective problem 2017 ·Ethics and Information Technology ·Peter Vamplew, Richard Dazeley, Cameron Foale, Sally Firmin, Jane Mummery	67
15	Caliko: An Inverse Kinematics Software Library Implementation of the FABRIK Algorithm 2016 ·Journal of Open Research Software ·(unknown), Peter Vamplew, (unknown), Cameron Foale	2
16	Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station 2009 ·Journal of Real-Time Image Processing ·Peter J. Lu, Hidekazu Oki, (unknown), Gregory Chamitoff, (unknown), (unknown), Cameron Foale, (unknown), (unknown), (unknown), Peggy A. Whitson, (unknown), William V. Meyer, (unknown), (unknown), (unknown), Andrew B. Schofield, David A. Weitz	17
17	Portal-based sound propagation for first-person computer games 2007 ·Cameron Foale, Peter Vamplew	4
18	Diagnostic instrumentation aboard ISS: just-in-time training for non-physician crewmembers. 2005 ·PubMed ·Cameron Foale, (unknown), Ashot E. Sargsyan, Douglas R. Hamilton, Shannon Melton, David S. Martin, Scott A. Dulchavsky	56
19	Accelerated Training at Mach 20: A Brief Communication Submitted from the International Space Station 2004 ·NASA Technical Reports Server (NASA) ·Cameron Foale, (unknown), Ashot E. Sargsyan, Douglas R. Hamilton, Shannon Melton, David S. Martin, Scott A. Dulchavsky	1
20	Man Overboard Rescue 1991 ·SIMULATION ·(unknown), (unknown), Cameron Foale	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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