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AROBOTS
1999
104views more  AROBOTS 1999»
13 years 8 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
HICSS
2005
IEEE
130views Biometrics» more  HICSS 2005»
14 years 2 months ago
Knowledge Flow in Interdisciplinary Teams
Knowledge flow in interdisciplinary teams has become of particular interest as research and alliances cross traditional disciplinary boundaries, and as computing is applied in any...
Caroline Haythornthwaite
ATAL
2010
Springer
13 years 9 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
AI
2006
Springer
14 years 9 days ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa
SIGCSE
2008
ACM
365views Education» more  SIGCSE 2008»
13 years 8 months ago
Computer science olympiad: exploring computer science through competition
Generating interest in specialized areas of Computer Science (CS) is one of the goals of the department of Computer and Information Science at Spelman College as with most departm...
Iretta B. C. Kearse, Charles Hardnett