Add to ORKGA framework is proposed for the investigation of planning systems that must deal with bounded uncertainty. A definition of this new class of contingency planners is given. A general, complete contingency planning algorithm is described. The algorithm is suitable to many incomplete information games as well as planning situations where the initial state is only partially known. A rich domain is identified for the application and evaluation of contingency planners. Preliminary results from applying our complete contingency planner to a portion of this domain are encouraging and match expert level performance
Our research area is planning under uncertainty, that is, making sequences of decisions in the face ...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...
Contingent planning is the task of finding a (conditional) so-lution plan under uncertainty and part...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
The “planning as satisfiability” approach for classical planning establishes a correspondence betwe...
The planning as satisfiability approach for classical planning establishes a correspondence between ...
The planning as satisfiability approach for classical planning establishes a correspondence between ...
The “planning as satisfiability” approach for classical planning establishes a correspondence betwe...
In this paper we consider one of the hardest problems in planning, contingency planning. Recent work...
AbstractUncertainty, inherent in most real-world domains, can cause failure of apparently sound clas...
This paper proposes a framework for planning under uncertainty given a partially known initial state...
. A key question in conditional planning is: how many, and which of the possible execution failures ...
Attempts to apply classical planning techniques to realistic environments have met with two major d...
A planner in the real world must be able to handle uncertainty It must be able to reason about the e...
Our research area is planning under uncertainty, that is, making sequences of decisions in the face ...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...
Contingent planning is the task of finding a (conditional) so-lution plan under uncertainty and part...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
The “planning as satisfiability” approach for classical planning establishes a correspondence betwe...
The planning as satisfiability approach for classical planning establishes a correspondence between ...
The planning as satisfiability approach for classical planning establishes a correspondence between ...
The “planning as satisfiability” approach for classical planning establishes a correspondence betwe...
In this paper we consider one of the hardest problems in planning, contingency planning. Recent work...
AbstractUncertainty, inherent in most real-world domains, can cause failure of apparently sound clas...
This paper proposes a framework for planning under uncertainty given a partially known initial state...
. A key question in conditional planning is: how many, and which of the possible execution failures ...
Attempts to apply classical planning techniques to realistic environments have met with two major d...
A planner in the real world must be able to handle uncertainty It must be able to reason about the e...
Our research area is planning under uncertainty, that is, making sequences of decisions in the face ...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...
Planning with partial observability can be formulated as a non-deterministic search problem in belie...