181 search results - page 34 / 37 » On Policy Learning in Restricted Policy Spaces |
AIED
2011
Springer
12 years 11 months ago
2011
Springer
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
ATAL
2004
Springer
14 years 1 months ago
2004
Springer
Decentralized MDPs provide a powerful formal framework for planning in multi-agent systems, but the complexity of the model limits its usefulness. We study in this paper a class o...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we focus on the problem of finding a periodic allocation strategy for teams of resource-bounded agents. We propose a real-time dynamic algorithm RTDA , that exploi...
WSC
2008
13 years 10 months ago
2008
With increased levels of global trade, foreign policy making, foreign travel, and distance collaboration using the Internet, the issue of culture takes center stage. One needs to ...