The University of Auckland
Game AI Group


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