AAAI
2008
13 years 7 months ago
2008
This paper investigates hindsight optimization as an approach for leveraging the significant advances in deterministic planning for action selection in probabilistic domains. Hind...
AAAI
2008
13 years 7 months ago
2008
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
AAAI
2008
13 years 7 months ago
2008
The search of a precise measure of what hardness of SAT instances means for state-of-the-art solvers is a relevant research question. Among others, the space complexity of treelik...
AAAI
2008
13 years 7 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
AAAI
2008
13 years 7 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
2008
13 years 7 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
2008
13 years 7 months ago
2008
AAAI
2008
13 years 7 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
2008
13 years 7 months ago
2008
We describe Yoopick, a combinatorial sports prediction market that implements a flexible betting language, and in turn facilitates fine-grained probabilistic estimation of outcome...
AAAI
2008
13 years 7 months ago
2008
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...