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AAMAS
2010
Springer
15 years 6 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
196
Voted
ATAL
2011
Springer
14 years 6 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
AI
2007
Springer
16 years 6 days ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
CHI
2005
ACM
16 years 6 months ago
Design and evaluation challenges of serious games
As the computer game industry grows, game capabilities and designs are being re-used for purposes other than entertainment. The study of 'Serious Games', i.e. games for ...
Elaine M. Raybourn, Nathan Bos
SGAI
2009
Springer
16 years 16 days ago
Explaining How to Play Real-Time Strategy Games
Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them a...
Ronald A. Metoyer, Simone Stumpf, Christoph Neuman...