371 search results - page 17 / 75 » The Complexity of Decentralized Control of Markov Decision P... |
AIPS
2003
14 years 11 months ago
2003
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
111
Voted
AI
2011
Springer
14 years 1 months ago
2011
Springer
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
96
Voted
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
85
Voted
EEMMAS
2007
Springer
15 years 3 months ago
2007
Springer
Behind the curtains at check-in desks in airports hide some of the most complex material handling systems, which manage to get your bag transported to the correct departure gate of...
69
Voted
AAAI
2000
14 years 11 months ago
2000
We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...