66 search results - page 8 / 14 » Abstract machines for dialogue games |
ECML
2003
Springer
14 years 19 days ago
2003
Springer
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...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
AIIDE
2006
13 years 8 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ICALT
2009
IEEE
13 years 11 months ago
2009
IEEE
Although Virtual Learning Environments have become popular educational tools, they remain a very active research topic. Two important aspects being discussed for next-generation V...
ECTEL
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. The generalization of game-based Learning Objects as serious learning material requires their integration into pre-existing e-learning infrastructure (systems and courses...