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ECML
2003
Springer
15 years 2 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
63
Voted
LREC
2010
156views Education» more  LREC 2010»
14 years 11 months ago
Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests
In recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to cre...
Matthieu Vernier, Laura Monceaux, Béatrice ...
SIGCSE
2004
ACM
132views Education» more  SIGCSE 2004»
15 years 3 months ago
Using game days to teach a multiagent system class
Multiagent systems is an attractive problem solving approach that is becoming ever more feasible and popular in today’s world. It combines artificial intelligence (AI) and distr...
Leen-Kiat Soh
TEDU
2008
126views Education» more  TEDU 2008»
14 years 9 months ago
Designing an Educational Game: Case Study of 'Europe 2045'
This paper presents a theoretical framework, which has been adopted in designing an on-line multi-player strategy game Europe 2045. Europe 2045 is an educational tool for high scho...
Vít Sisler, Cyril Brom
DAGM
2003
Springer
15 years 2 months ago
Learning Human-Like Opponent Behavior for Interactive Computer Games
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
Christian Bauckhage, Christian Thurau, Gerhard Sag...