Add to ORKGAI planners have to compromise between the speed of the planning process and the quality of the generated plan. Anytime planners try to balance these objectives by finding plans of better quality over time, but current anytime planners often do not make
Planning—in its classical sense—is the problem of finding a sequence of actions that achieves a pred...
Planning by Rewriting (PbR) is a paradigm for efficient high-quality planning that exploits declarat...
Problem addressed In producing plans human planners take into account a variety of criteria that gu...
Finding high quality plans for large planning problems is hard. Although some current anytime planne...
There exist planning algorithms that can quickly find sub-optimal plans even for large problems and ...
Although current sequential satisficing planners are able to find solutions for a wide range of prob...
In producing plans, human planners take into account a variety of criteria that guide their decision...
Most of the satisficing planners which are based on heuristic search iteratively improve their solut...
This thesis addresses three problems in the field of classical AI planning: decomposing a plan into...
Planning is designing the behavior of an agent. The classical theory of planning assumes that the pl...
Generating good, production-qualityplans is an essential element in transforming planners from resea...
For an agent to act successfully in a complex and dynamic environment (such as a computer game)it mu...
Generating production-quality plans is an essential element in transforming planners from research t...
The need for finding a set of plans rather than one has been motivated by a variety of planning appl...
Most of the satisficing planners which are based on heuristic search iteratively improve their solut...
Planning—in its classical sense—is the problem of finding a sequence of actions that achieves a pred...
Planning by Rewriting (PbR) is a paradigm for efficient high-quality planning that exploits declarat...
Problem addressed In producing plans human planners take into account a variety of criteria that gu...
Finding high quality plans for large planning problems is hard. Although some current anytime planne...
There exist planning algorithms that can quickly find sub-optimal plans even for large problems and ...
Although current sequential satisficing planners are able to find solutions for a wide range of prob...
In producing plans, human planners take into account a variety of criteria that guide their decision...
Most of the satisficing planners which are based on heuristic search iteratively improve their solut...
This thesis addresses three problems in the field of classical AI planning: decomposing a plan into...
Planning is designing the behavior of an agent. The classical theory of planning assumes that the pl...
Generating good, production-qualityplans is an essential element in transforming planners from resea...
For an agent to act successfully in a complex and dynamic environment (such as a computer game)it mu...
Generating production-quality plans is an essential element in transforming planners from research t...
The need for finding a set of plans rather than one has been motivated by a variety of planning appl...
Most of the satisficing planners which are based on heuristic search iteratively improve their solut...
Planning—in its classical sense—is the problem of finding a sequence of actions that achieves a pred...
Planning by Rewriting (PbR) is a paradigm for efficient high-quality planning that exploits declarat...
Problem addressed In producing plans human planners take into account a variety of criteria that gu...