45 search results - page 8 / 9 » High-level reinforcement learning in strategy games |
96
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NN
2006
Springer
14 years 11 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
AAAI
2010
15 years 1 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
104
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CEC
2010
IEEE
14 years 12 months ago
2010
IEEE
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
AIIDE
2008
15 years 2 months ago
2008
As massively multi-player gaming environments become more detailed, developing agents to populate these virtual worlds as capable non-player characters poses an increasingly compl...
SIGIR
2003
ACM
15 years 4 months ago
2003
ACM
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute user...