44 search results - page 5 / 9 » Approximate inference for planning in stochastic relational ... |
UAI
2008
15 years 1 months ago
2008
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
AIPS
2007
15 years 1 months ago
2007
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Internet advertising is a sophisticated game in which the many advertisers "play" to optimize their return on investment. There are many "targets" for the adve...
IJCAI
2007
15 years 1 months ago
2007
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
115
click to vote
ICML
2010
IEEE
15 years 20 days ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...