92 search results - page 3 / 19 » Acting Optimally in Partially Observable Stochastic Domains |
AAAI
2010
13 years 7 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
ATAL
2005
Springer
13 years 11 months 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...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
AAAI
2007
13 years 8 months ago
2007
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
JAIR
2000
13 years 6 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...