1277 search results - page 79 / 256 » Terminating Decision Algorithms Optimally |
121
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
125
click to vote
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
Coordination of multiple agents under uncertainty in the decentralized POMDP model is known to be NEXP-complete, even when the agents have a joint set of goals. Nevertheless, we s...
ISAAC
1999
Springer
15 years 7 months ago
1999
Springer
We introduce an online relocation problem on a graph, in which a player who walks around the nodes makes decisions on whether to relocate mobile resources, while not knowing the fu...
129
click to vote
CCE
2004
15 years 3 months ago
2004
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
92
Voted
PPSN
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Many real-world optimization problems have several, usually conflicting objectives. Evolutionary multi-objective optimization usually solves this predicament by searchin...