190 search results - page 25 / 38 » Abstraction and Generalization in Reinforcement Learning: A ... |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 7 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
SFP
2003
13 years 9 months ago
2003
Abstract In distance learning the lack of direct communication between teachers and learners makes it difficult to provide direct assistance to students while they are solving the...