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» High-level reinforcement learning in strategy games
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ICANN
2010
Springer
14 years 11 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
ATAL
2008
Springer
15 years 1 months ago
Social reward shaping in the prisoner's dilemma
Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
EWCBR
2008
Springer
15 years 1 months ago
Discovering Feature Weights for Feature-based Indexing of Q-tables
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, H&e...
WELCOM
2001
Springer
132views ECommerce» more  WELCOM 2001»
15 years 4 months ago
Incentives for Sharing in Peer-to-Peer Networks
The recent and unprecedented surge of public interest in peer-to-peer file sharing has led to a variety of interesting research questions. In this paper, we will address the ince...
Philippe Golle, Kevin Leyton-Brown, Ilya Mironov, ...
98
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CIKM
2003
Springer
15 years 4 months ago
Automated index management for distributed web search
Distributed heterogeneous search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers d...
Rinat Khoussainov, Nicholas Kushmerick