995 search results - page 72 / 199 » Learning Useful Horn Approximations |
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
JMLR
2010
13 years 4 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
AIED
2007
Springer
14 years 4 months ago
2007
Springer
Many intelligent tutoring systems permit some degree of learner control. A natural question is whether the increased student engagement and motivation such control provides results...
AI
2006
Springer
14 years 1 months ago
2006
Springer
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...