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ICML
2003
IEEE
16 years 7 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 11 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
CICLING
2008
Springer
15 years 9 months ago
Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...
Florian Holz, Chris Biemann
AIIDE
2008
15 years 9 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...
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PPOPP
2005
ACM
16 years 18 days ago
A linear-time algorithm for optimal barrier placement
We want to perform compile-time analysis of an SPMD program and place barriers in it to synchronize it correctly, minimizing the runtime cost of the synchronization. This is the b...
Alain Darte, Robert Schreiber