388 search results - page 40 / 78 » Learning to Optimize Plan Execution in Information Agents |
99
Voted
ILP
2007
Springer
15 years 5 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
DAGM
2006
Springer
15 years 3 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
KCAP
2009
ACM
15 years 6 months ago
2009
ACM
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
ICML
2003
IEEE
16 years 17 days ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
ICML
2004
IEEE
16 years 17 days ago
2004
IEEE
Reminder systems support people with impaired prospective memory and/or executive function, by providing them with reminders of their functional daily activities. We integrate tem...