2012
Kevin Norris. (2012).
An Opponent Based Statistical Exploitation Module, And Its Benefits When Used With an Approximate Nash Equilibrium Strategy.
Masters Thesis. University of Auckland.
Glen Robertson. (2012).
Applying Learning by Observation and Case-Based Reasoning to Improve Commercial RTS Game AI.
Proceedings of the Doctoral Consortium at the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE '12).
Proceedings Page.
Ian Watson & Jonathan Rubin & Glen Robertson. (2012).
SARTRE: a Case-Based Poker Web App (Demo).
Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System (IE '12).
doi:
10.1145/2336727.2336750
Glen Robertson & Ian Watson. (2012).
Case-Based Learning by Observation: Preliminary Work (Demo).
Proceedings of The 8th Australasian Conference on Interactive Entertainment: Playing the System (IE '12).
doi:
10.1145/2336727.2336751
Jonathan Rubin & Ian Watson. (2012).
Case-Based Strategies in Computer Poker. AI Communications, 25:19-48.
doi:
10.3233/AIC-2012-0513
2011
Jonathan Rubin & Ian Watson. (2011).
Successful Performance via Decision Generalisation in No Limit Texas Hold'em.
Proceedings of the Nineteenth International Conference on Case-Based Reasoning (ICCBR 2011).
(Best Application Paper)
Jonathan Rubin & Ian Watson. (2011).
On Combining Decisions from Multiple Expert Imitators for Performance.
IJCAI-11, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.
Jonathan Rubin & Ian Watson. (2011).
Computer poker: A review.
Artificial Intelligence, 175(5-6):958-987.
2010
Jonathan Rubin & Ian Watson. (2010).
Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em.
International Conference on Case-based Reasoning (ICCBR 2010).
Simon van den Hurk & Ian Watson. (2010).
A Multi-Layered Flocking System for Crowd Simulation.
International Conference on Computer Games, Multimedia and Allied Technology (CGAT 2010).
2009
Jonathan Rubin & Ian Watson. (2009).
A Memory-Based Approach to Two-Player Texas Hold'em.
AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference.
Simon van den Hurk. (2009).
A Multi-Layered Flocking System For Crowd Simulation.
Honours dissertation, University of Auckland.
Jonathan Rubin & Ian Watson. (2009).
SARTRE: System Overview. A Case-Based Agent for Two-Player Texas Hold'em.
ICCBR 2009, Workshop on Case-Based Reasoning for Computer Games.
Jonathan Rubin & Ian Watson. (2009).
Memory and Analogy in Game-Playing Agents.
ICCBR 2009, Workshop on Case-Based Reasoning for Computer Games.
Stefan Wender. (2009).
Integrating Reinforcement Learning into Strategy Games.
Masters thesis, University of Auckland.
2008
Ian Watson, Song Lee, Jonathan Rubin & Stefan Wender. (2008).
Improving a Case-Based Texas Hold’em Poker Bot.
CIG'08: IEEE Symposium on Computational Intelligence and Games.
Ian Watson & Jonathan Rubin. (2008).
Casper: a Case-Based Poker-Bot.
AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence.
Matthew Sheehan & Ian Watson. (2008).
On the Usefulness of Interactive Computer Game Logs for Agent Modelling.
Tenth Pacific Rim International Conference on Artificial Intelligence.
Stefan Wender & Ian Watson. (2008).
Using Reinforcement Learning for City Site Selection in the Turn-Based Strategy Game
Civilization IV.
CIG'08: IEEE Symposium on Computational Intelligence and Games.
Matthew P. Sheehan. (2008).
General Agent Learning Using First Person Shooter Game Logs.
Masters thesis, University of Auckland.
2007
Jonathan Rubin. (2007).
CASPER: Design and Development of a Case-Based Poker Player.
Masters thesis, University of Auckland.
Jonathan Rubin & Ian Watson (2007).
Investigating the Effectiveness of Applying Case-Based Reasoning to the game of Texas
Hold’em.
Proc. of the 20th. Florida Artificial Intelligence Research Society Conference (FLAIRS).
2005
Clemens N. Berndt, Ian Watson, & Hans Guesgen. (2005).
OASIS: An Open AI Standard Interface Specification to Support Reasoning, Representation
and Learning in Computer Games.
IJCAI 2005 Workshop on Reasoning, Representation, and Learning in Computer Games