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ATAL
2004
Springer
15 years 5 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein
ACG
2009
Springer
15 years 6 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
AIED
2009
Springer
15 years 6 months ago
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate?
: Both gaming the system (taking advantage of the system’s feedback and help to succeed in the tutor without learning the material) and being off-task (engaging in behavior that ...
Mihaela Cocea, Arnon Hershkovitz, Ryan Shaun Joaze...
ALT
2008
Springer
15 years 8 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 5 months ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno