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» Learning with Continuous Experts Using Drifting Games
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GECCO
2008
Springer
167views Optimization» more  GECCO 2008»
13 years 6 months ago
Using coevolution to understand and validate game balance in continuous games
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies. We define balanced games as g...
Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis
ATAL
2008
Springer
13 years 7 months ago
Using adaptive consultation of experts to improve convergence rates in multiagent learning
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that a...
Greg Hines, Kate Larson
ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
13 years 10 months ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof
JMLR
2011
137views more  JMLR 2011»
13 years 13 days ago
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
In this paper the sequential prediction problem with expert advice is considered for the case where losses of experts suffered at each step cannot be bounded in advance. We presen...
Vladimir V. V'yugin
GI
2009
Springer
13 years 3 months ago
Test your Strategy - Intuitive Strategy Definition and Evaluation for Novices and Experts
: ConnectIT uses a graphical representation to express strategies for playing the connect-four game. With this tool we can transfer complex knowledge about the connect-four game it...
Sven Jörges, Marco Bakera, Tiziana Margaria, ...