76 search results - page 7 / 16 » Learning to Do HTN Planning |
KER
2007
13 years 7 months ago
2007
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
IADIS
2004
13 years 9 months ago
2004
Learning in hyperspace provided by Web contents requires learners not only to navigate the Web pages to construct their own knowledge from the contents learned at and between the ...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— Navigation is one of the fundamental tasks for a mobile robot. The majority of path planning approaches has been designed to entirely solve the given problem from scratch given...
LAMAS
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...