221 search results - page 26 / 45 » Relational Reinforcement Learning for Agents in Worlds with ... |
IJCAI
2007
13 years 9 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
IJCAI
2007
13 years 9 months ago
2007
Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
CONNECTION
2006
13 years 7 months ago
2006
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
AAAI
2012
11 years 10 months ago
2012
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...