231 search results - page 30 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
137
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...
151
Voted
ICCD
2006
IEEE
16 years 19 days ago
2006
IEEE
This paper proposes a stochastic dynamic thermal management (DTM) technique in high-performance VLSI system with especial attention to the uncertainty in temperature observation. ...
163
Voted
AIED
2011
Springer
14 years 7 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...
142
Voted
IJCAI
2003
15 years 5 months ago
2003
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
143
Voted
JAIR
2006
15 years 3 months ago
2006
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...