906 search results - page 78 / 182 » Games for Learning and Learning from Games |
141
click to vote
ICCBR
2010
Springer
15 years 10 months ago
2010
Springer
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
183
click to vote
LAMAS
2005
Springer
15 years 11 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
143
click to vote
ATAL
2006
Springer
15 years 8 months ago
2006
Springer
Can a good learner compensate for a poor learner when paired in a coordination game? Previous work has given an example where a special learning algorithm (FMQ) is capable of doin...
169
click to vote
AIIDE
2008
15 years 8 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...
163
click to vote
UMUAI
2008
15 years 5 months ago
2008
Some students, when working in interactive learning environments, attempt to "game the system", attempting to succeed in the environment by exploiting properties of the s...