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FLAIRS
2009
14 years 9 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
AIIDE
2008
15 years 2 months ago
Effects of Communication on the Evolution of Squad Behaviours
As the non-playable characters (NPCs) of squad-based shooter computer games share a common goal, they should work together in teams and display cooperative behaviours that are tac...
Darren Doherty, Colm O'Riordan
AUSAI
2008
Springer
15 years 1 months ago
CASPER: A Case-Based Poker-Bot
This paper investigates the use of the case-based reasoning methodology applied to the game of Texas hold'em poker. The development of a CASe-based Poker playER (CASPER) is de...
Ian Watson, Jonathan Rubin
ICANN
2010
Springer
14 years 12 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
ATAL
2009
Springer
15 years 6 months ago
Effective tag mechanisms for evolving cooperation
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
Matthew Matlock, Sandip Sen