Conference and Workshop Publications

• Search Ordering for StarCraft Build Order Optimization [2024]
  B. Stanley, and D. Churchill
  NECEC-24 Newfoundland Electrical and Computer Engineering Conference
• Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception [2023]
  A. Nash, A. Vardy, and D. Churchill
  AIIDE-23 AAAI Artificial Intelligence and Interactive Digital Entertainment
• Generating 2D Platforming Auto-Play Levels with Genetic Algorithms [2022]
  S. Sabraw, and D. Churchill
  NECEC-22 Newfoundland Electrical and Computer Engineering Conference
• The Effects of Human-like Modifications to Heuristic Action Evaluation in Video Game Pathfinding [2022]
  R. Bishop, and D. Churchill
  FDG-22 International Conference on the Foundations of Digital Games
  (Best Paper Award)
• Sneak-Attacks in StarCraft using Influence Maps with Heuristic Search [2021]
  L. Critch, and D. Churchill
  COG-21 IEEE Conference on Games
• Transfer Learning Between RTS Game Scenarios using Component-Action Deep RL [2020]
  R. Kelly, and D. Churchill
  AIIDE-20 Workshop on Artificial Intelligence for Strategy Games
• Combining Influence Maps with Heuristic Search for Executing Sneak-Attacks in RTS Games [2020]
  L. Critch, and D. Churchill
  IEEE Conference on Games, CoG 2020
• A Reinforcement Learning Approach to Multi-Robot Planar Construction [2019]
  C. Strickland, D. Churchill, and A. Vardy
  MRS 2019 - International Symposium on Multi-Robot and Multi-Agent Systems
• Robust Continuous Build-Order Optimization in StarCraft [2019]
  D. Churchill, M. Buro, and R. Kelly
  IEEE Conference on Games, CoG 2019, London, U.K., 8 pages
• Machine Learning State Evaluation in Prismata [2019]
  R. Campbell, and D. Churchill
  AIIDE 2019 - Strategy Game AI Workshop
• Comparison of Monte Carolo Tree Search Methods in the Imperfect Information Card Game Cribbage [2017]
  R. Kelly and D. Churchill
  Proceedings of the 2017 Newfoundland Electrical and Computer Engineering Conference
• An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios [2017]
  D. Churchill, Z. Lin, and G. Synnaeve
  Workshop on Artificial Intelligence for Strategy Games, AIIDE 2017, 7 pages
• The Current State of StarCraft AI Competitions and Bots [2017]
  M. Certicky and D. Churchill
  Workshop on Artificial Intelligence for Strategy Games, AIIDE 2017, 7 pages
• Hierarchical Portfolio Search: Prismata's Robust AI Architecture for Games with Large Search Spaces [2015]
  D. Churchill and M. Buro
  AIIDE, UC Santa Cruz, 2015, 6 pages
  (Best Student Paper Award)
• Portfolio Greedy Search and Simulation for Large-Scale Combat in Starcraft [2013]
  D. Churchill and M. Buro
  CIG 2013, Niagara Falls, Canada, 8 pages
  (Best Paper Award)
• Fast Heuristic Search for RTS Game Combat Scenarios [2012]
  D. Churchill, Abdallah Saffidine, and M. Buro
  AIIDE, Stanford, 2012, pp.~112-117
• Incorporating Search Algorithms into RTS Game Agents [2012]
  D. Churchill and M. Buro
  AIIDE Workshop on Artificial Intelligence in Adversarial Real-Time Games, Stanford, 2012, 6 pages
• Build Order Optimization in StarCraft [2011]
  D. Churchill and M. Buro
  AIIDE, Stanford, 2011, 6 pages
• Homing in Scale Space [2008]
  D. Churchill and A. Vardy
  Proceedings of the IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems
• Approximate Scheduling of Final Exams at Memorial University [2007]
  M. Mata-Montero and D. Churchill
  Proceedings of the 2007 Congreso Internacional de Ingenieria de Sistemas - ICSE PERU.
• Real Time Parallel Scientific Computation and Visualization using the IBM Bluegene/L Supercomputer [2005]
  M. Hamilton, D. Churchill, R.P. Bording, and K. Jordan
  Proceedings of the 2005 Newfoundland Electrical and Computer Engineering Conference
• Prototyping Parallel Sequence Edit-Distance Algorithms in FPGA Hardware [2004]
  D. Churchill, P. Gillard, M. Hamilton, T. Wareham
  Proceedings of the 2004 Newfoundland Electrical and Computer Engineering Conference

Journal and Book Publications

• StarCraft AI Competitions, Bots and Tournament Manager Software [2018]
  M. Certicky, D. Churchill, K. Kim, M. Certicky, and R. Kelly
  IEEE Transacations on Games
• Lithography for robust and editable atomic-scale silicon devices and memories [2018]
  R. Achal, M. Rashidi, J. Croshaw, D. Churchill, M. Taucer, T. Huff, M. Clouter, J. Pitters, and R. Wolkow
  Nature Communications
• Hierarchical Portfolio Search in Prismata [2017]
  D. Churchill and M. Buro
  Game AI Pro 3
• StarCraft Bots and Competitions [2016]
  D. Churchill, M. Preuss, F. Richoux, G. Synnaeve, A. Uriarte, S. Ontanon, and M. Certicky
  Springer Encyclopedia of Computer Graphics and Games
• RTS AI Problems and Techniques [2015]
  S. Ontanon, G. Synnaeve, A. Uriarte, F. Richoux, D. Churchill, and M. Preuss
  Springer Encyclopedia of Computer Graphics and Games
• A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft [2013]
  S. Ontanon, G. Synnaeve, A. Uriarte, F. Richoux, D. Churchill, and M. Preuss
  TCIAIG (August 2013)
• An Orientation Invariant Visual Homing Algorithm [2013]
  D. Churchill and A. Vardy
  Journal of Intelligent & Robotic Systems (Issue 2013/7) Pages 1-27
• Real-Time Strategy Game Competitions [2012]
  M. Buro and D. Churchill
  AI Magazine Vol 33, No 3, pp. 106-108, 2012

My Theses

• Heuristic Search Techniques for Real-Time Strategy Games [2016]
  D. Churchill, Supervisor: M. Buro
  PhD Thesis, Computing Science, University of Alberta
• Homing in Scale Space [2009]
  D. Churchill, Supervisor: A. Vardy
  MSc Thesis, Computer Science, Memorial University of Newfoundland
• Algorithms for the Construction of Generalized Skolem-Type Sequences [2005]
  D. Churchill, Supervisors: M. Mata-Montero and N. Shalaby
  BSc Honours Thesis, Computer Science, Memorial University of Newfoundland

Supervised Student Theses (MSc)

• Generating Automatic Mario Levels with a Genetic Algorithm [2024]
  Shawn Sabraw, Supervisor: D. Churchill
  MSc, Computer Science, Memorial University
• Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception [2024]
  Andrew Nash, Co-Supervisors: D. Churchill, A. Vardy
  MSc, Computer Science, Memorial University
• Human Achievable Path Generation in Video Games Through Modified Heuristic Search [2024]
  Robert Bishop, Supervisor: D. Churchill
  MSc, Computer Science, Memorial University
• Using Influence Maps with Heuristic Search to Craft Sneak-Attacks in StarCraft [2021]
  Lucas Critch, Supervisor: D. Churchill
  MSc, Computer Science, Memorial University
• Component-Action Deep Q-Learning for Real-Time Strategy Game AI [2021]
  Richard Kelly, Supervisor: D. Churchill
  MSc, Computer Science, Memorial University
• Machine Learning State Evaluation in Prismata [2020]
  Rory Campbell, Supervisor: D. Churchill
  MSc, Computer Science, Memorial University
• A Reinforcement Learning Approach to Multi-Robot Planar Construction [2020]
  Caroline Strickland, Co-Supervisors: D. Churchill, A. Vardy
  MSc, Computer Science, Memorial University

Supervised Student Theses (BSc Honours)

• Search Ordering for StarCraft Build Order Optimization [2023]
  Benjamin Stanley, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University
• Performance Analysis of Optimized A-Star and Iterative Deepening A-Star Algorithm... [2023]
  Zakwan Ashfaq Zian, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University
• Chokepoint Detection and Wall-In Building Placement in StarCraft [2023]
  Collin Riggs, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University
• Comparison of Reinforcement Learning Hyperparameters in the 3D Game Rocket League [2023]
  Jacob Critch, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University
• Poisson Disc Distribution and A* Pathfinding for Procedural Content Generation in Minecraft [2021]
  Christopher Yates, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University
• Comparison of Monte Carlo Tree Search Methods in the Imperfect Information Card Game Cribbage [2017]
  Richard Kelly, Supervisor: D. Churchill
  BSc Honours, Computer Science, Memorial University

Non-Refereed & Technical Reports

• A History of Starcraft AI Competitions [2016]
  D. Churchill
  Technical Report, 2016
• 2015 AIIDE StarCraft AI Competition Report [2015]
  D. Churchill
  Official Competition Report, 2015
• The Prismata AI: How I learned to stop worrying and love the bots [2014] [pdf]
  D. Churchill - Lunarch Studios
  Gamasutra Blog Article, 2014
• 2013 AIIDE StarCraft AI Competition Report [2013]
  D. Churchill
  Official Competition Report, 2013
• Travel Time Inversion in Seismic Tomography [2006]
  S. Padina, D. Churchill, and R.P. Bording
  Technical Report, 2006, Earth Science Department, Memorial University of Newfoundland

Media Coverage

• Online Opportunity [2022] [pdf]
  Kelly Foss
  Memorial University Gazette, 2022
• Ethics and artificial intelligence: These researchers say tech has to have a moral backbone [2019] [pdf]
  Sarah Smellie
  CBC, 2019
• AI bots built to play StarCraft are battling it out in NL [2017] [png, pdf]
  Sarah Smellie
  CBC, 2017
• Google's AI Declares Galactic War on Starcraft [2017] [png, pdf]
  Tom Simonite
  WIRED, 2017
• Gaming Guru [2017] [png, pdf]
  Susan Flanagan
  Memorial University Gazette, 2017
• Better Research Through Starcraft At MUN [2017] [png, pdf]
  Unknown Author
  VOCM, 2017
• Computers That Crush Humans at Games Might Have Met Their Match: 'StarCraft' [2016] [pdf]
  Jonathan Cheng
  Wall Street Journal, 2016
• Changing the Game [2016] [pdf]
  Shane Riczu
  University of Alberta Alumni Magazine, 2016
• Why 'True' AI In Video Games Is a Marketing Gimmick [2015] [pdf]
  Jordan Pearson
  Motherboard, 2015
• Starcraft AI from Build Orders to Unit Micro-Management [2013]
  Alex J. Champanard - Interview
  AIGameDev.net, 2013
• Building a better opponent [2012] [pdf]
  Tim O'Brien
  The Muse Newspaper, 2012
• Battling AI bots in StarCraft [2011] [pdf]
  Lance Mudryk
  The Gateway Newspaper, 2011