592 search results - page 15 / 119 » Learning Generalized Plans Using Abstract Counting |
NIPS
1997
13 years 9 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
EWCBR
2008
Springer
13 years 10 months ago
2008
Springer
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
ICCBR
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Although similarity measures play a crucial role in CBR applications, clear methodologies for defining them have not been developed yet. One approach to simplify the de...
AAAI
2007
13 years 10 months ago
2007
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
NIPS
1993
13 years 9 months ago
1993
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...