48 search results - page 5 / 10 » Approximate Planning in POMDPs with Macro-Actions |
AAAI
2008
14 years 11 months ago
2008
In order to interact successfully in social situations, a robot must be able to observe others' actions and base its own behavior on its beliefs about their intentions. Many ...
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JAIR
2008
14 years 9 months ago
2008
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
AI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
ATAL
2010
Springer
14 years 10 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...
AIPS
2008
14 years 11 months ago
2008
We consider the problem of cooperative multiagent planning under uncertainty, formalized as a decentralized partially observable Markov decision process (Dec-POMDP). Unfortunately...