2012
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