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» One-Counter Stochastic Games
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ACL
2009
13 years 5 months ago
Learning to Tell Tales: A Data-driven Approach to Story Generation
Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story gen...
Neil McIntyre, Mirella Lapata

Publication
233views
12 years 6 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
IAT
2008
IEEE
14 years 2 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
IM
2007
13 years 7 months ago
Pursuit-Evasion in Models of Complex Networks
Vertex pursuit games, such as the game of Cops and Robbers, are a simplified model for network security. In these games, cops try to capture a robber loose on the vertices of the ...
Anthony Bonato, Pawel Pralat, Changping Wang
STOC
2012
ACM
256views Algorithms» more  STOC 2012»
11 years 10 months ago
Competitive contagion in networks
We develop a game-theoretic framework for the study of competition between firms who have budgets to “seed” the initial adoption of their products by consumers located in a s...
Sanjeev Goyal, Michael Kearns