24 search results - page 1 / 5 » Subjective approximate solutions for decentralized POMDPs |
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up e...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Memory-bounded techniques have shown great promise in solving complex multi-agent planning problems modeled as DEC-POMDPs. Much of the performance gains can be attributed to pruni...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...