280 search results - page 9 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
85
Voted
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
133
Voted
AI
2011
Springer
14 years 3 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-...
94
Voted
ATAL
2006
Springer
15 years 3 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...
UAI
1998
15 years 1 months ago
1998
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
JAIR
2008
14 years 11 months ago
2008
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...