AAAI
2008
14 years 1 months ago
2008
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
AAAI
2007
14 years 1 months ago
2007
AAAI
2007
14 years 1 months ago
2007
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
AAAI
2008
14 years 1 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
AAAI
2007
14 years 1 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
AAAI
2008
14 years 1 months ago
2008
AAAI
2007
14 years 1 months ago
2007
AAAI
2008
14 years 1 months ago
2008
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
AAAI
2007
14 years 1 months ago
2007
Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with o...
AAAI
2007
14 years 1 months ago
2007