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ATAL
2009
Springer
15 years 6 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
AIED
2005
Springer
15 years 5 months ago
Serious Games for Language Learning: How Much Game, How Much AI?
Modern computer games show potential not just for engaging and entertaining users, but also in promoting learning. Game designers employ a range of techniques to promote long-term ...
W. Lewis Johnson, Hannes Högni Vilhjál...
AAAI
2007
15 years 2 months ago
Equilibria in Heterogeneous Nonmonotonic Multi-Context Systems
We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. Nonmonotonic bridge rules are used to specify th...
Gerhard Brewka, Thomas Eiter
AAAI
2008
15 years 2 months ago
ARMOR Security for Los Angeles International Airport
Security at major locations of economic or political importance is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent f...
James Pita, Manish Jain, Fernando Ordó&ntil...
AAMAS
2010
Springer
14 years 12 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