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UAI
2000
15 years 8 months ago
Probabilistic State-Dependent Grammars for Plan Recognition
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represen...
David V. Pynadath, Michael P. Wellman
AIPS
1996
15 years 8 months ago
Computing Parameter Domains as an Aid to Planning
Weshowthat by inferring parametexdomainsof planningoperators,given the definitions of the operators and the initial and goal conditions, we can often speed up the planning process...
Alfonso Gerevini, Lenhart K. Schubert
AIPS
1994
15 years 8 months ago
A Framework for Automatic Problem Decomposition in Planning
An intelligent problem solver must be able to decompose a complex problem into simpler parts. A decomposition algorithm would not only be bene cial for traditional subgoal-oriente...
Qiang Yang, Shuo Bai, Guiyou Qiu
AIPS
2009
15 years 7 months ago
Multi-Agent Online Planning with Communication
We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen
ATMOS
2009
105views Optimization» more  ATMOS 2009»
15 years 7 months ago
On Assessing Robustness in Transportation Planning
Abstract. We consider a fundamental problem, called QoS-aware Multicommodity Flow, for assessing robustness in transportation planning. It constitutes a natural generalization of t...
Apostolos Bessas, Christos D. Zaroliagis