83 search results - page 4 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
165
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FLAIRS
2009
15 years 4 months ago
2009
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
157
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JAIR
2007
15 years 6 months ago
2007
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
174
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AIPS
2006
15 years 8 months ago
2006
Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for ful...
170
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ATAL
2005
Springer
16 years 6 days ago
2005
Springer
We present the agent programming language POGTGolog, which combines explicit agent programming in Golog with game-theoretic multi-agent planning in a special kind of partially obs...
169
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...