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» The Dynamics of Multi-Agent Reinforcement Learning
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ATAL
2008
Springer
13 years 7 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
GECCO
2008
Springer
138views Optimization» more  GECCO 2008»
13 years 6 months ago
Modular neuroevolution for multilegged locomotion
Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that ...
Vinod K. Valsalam, Risto Miikkulainen
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 5 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
CE
2007
176views more  CE 2007»
13 years 5 months ago
Pedagogical approaches for technology-integrated science teaching
The two separate projects described have examined how teachers exploit computer-based technologies in supporting learning of science at secondary level. This paper examines how pe...
Sara Hennessy, Jocelyn Wishart, Denise Whitelock, ...
ICFP
2008
ACM
14 years 5 months ago
Write it recursively: a generic framework for optimal path queries
Optimal path queries are queries to obtain an optimal path specified by a given criterion of optimality. There have been many studies to give efficient algorithms for classes of o...
Akimasa Morihata, Kiminori Matsuzaki, Masato Takei...