85 search results - page 16 / 17 » Markov Games as a Framework for Multi-Agent Reinforcement Le... |
AIIDE
2007
13 years 7 months ago
2007
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
ATAL
2011
Springer
12 years 4 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
NIPS
2008
13 years 6 months ago
2008
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
Current trends in model construction in the field of agentbased computational economics base behavior of agents on either game theoretic procedures (e.g. belief learning, fictit...