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AIPS
2009
14 years 11 months ago
The Influence of k-Dependence on the Complexity of Planning
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffected by the action. This concept is well-founded since k is a constant for all but...
Omer Giménez, Anders Jonsson
IJCAI
2003
14 years 11 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
AIPS
2003
14 years 11 months ago
Reasoning about Autonomous Processes in an Estimated-Regression Planner
We examine the issues that arise in extending an estimatedregression (ER) planner to reason about autonomous processes that run and have continuous and discrete effects without th...
Drew V. McDermott
SAC
2005
ACM
15 years 3 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
CONCUR
2001
Springer
15 years 2 months ago
CCS with Priority Guards
It has long been recognised that standard process algebra has difficulty dealing with actions of different priority, such as for instance an interrupt action of high priority. Va...
Iain Phillips