354 search results - page 53 / 71 » Learning Character Behaviors Using Agent Modeling in Games |
114
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AAAI
2010
15 years 5 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
130
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...
134
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CANDC
2009
ACM
15 years 7 months ago
2009
ACM
Computing technologies such as games, social networking sites, and virtual environments often reproduce forms of social stigma encountered in everyday real life, as well as introd...
156
Voted
ATAL
2008
Springer
15 years 5 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
143
Voted
SOFSEM
2010
Springer
16 years 18 days ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...