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ICANN
1997
Springer
14 years 29 days ago
On Learning Soccer Strategies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
CEC
2007
IEEE
14 years 24 days ago
Adaptive farming strategies for dynamic economic environment
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 8 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
GECCO
2010
Springer
192views Optimization» more  GECCO 2010»
14 years 3 days ago
Resource abundance promotes the evolution of public goods cooperation
Understanding the evolution of cooperation as part of an evolutionary stable strategy (ESS) is a difficult problem that has been the focus of much work. The associated costs of co...
Brian D. Connelly, Benjamin E. Beckmann, Philip K....
BMCBI
2008
118views more  BMCBI 2008»
13 years 9 months ago
Evaluation of phylogenetic footprint discovery for predicting bacterial cis-regulatory elements and revealing their evolution
Background: The detection of conserved motifs in promoters of orthologous genes (phylogenetic footprints) has become a common strategy to predict cis-acting regulatory elements. S...
Rekin's Janky, Jacques van Helden