144 search results - page 1 / 29 » A Cautious Approach to Generalization in Reinforcement Learn... |
ICAART
2010
INSTICC
14 years 2 months ago
2010
INSTICC
JMLR
2010
12 years 11 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
TFS
2011
12 years 11 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
ECAI
2006
Springer
13 years 8 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...