Andere Kunden interessierten sich auch für
![Temporal Coherence in Real-Time Rendering]( "Temporal Coherence in Real-Time Rendering")
Temporal Coherence in Real-Time Rendering38,99 €![Temporal Databases]( "Temporal Databases")
Temporal Databases51,99 €![The Discovery of Interacting Episodes and Temporal Rule Determination]( "The Discovery of Interacting Episodes and Temporal Rule Determination")
The Discovery of Interacting Episodes and Temporal Rule Determination51,99 €![Modeling Spatio-Temporal Databases]( "Modeling Spatio-Temporal Databases")
Modeling Spatio-Temporal Databases32,99 €![Temporal run-length encoding]( "Temporal run-length encoding")
Temporal run-length encoding44,99 €![TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains]( "TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains")
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains74,99 €![Operational Behaviors and Continuous Improvement]( "Operational Behaviors and Continuous Improvement")
Operational Behaviors and Continuous Improvement51,99 €
The TM-LPSAT planner can construct plans in domains
containing atomic actions and durative actions;
events and processes; discrete, real-valued, and
interval-valued fluents; reusable resources,
both numeric and interval-valued; and continuous
linear change to quantities. It works in three tages.
In the first stage, a representation of the domain
and problem in an extended version of PDDL+ is
compiled into a system of Boolean combinations of
propositional atoms and linear constraints over
numeric variables. In the second stage, a SAT-based
arithmetic constraint solver, such as LPSAT or
MathSAT, is used to find a solution to the system of
constraints. In the third stage, a correct plan is
extracted from this solution. We discuss the
structure of the planner and show how planning with
time and metric quantities is compiled into a system
of constraints.
containing atomic actions and durative actions;
events and processes; discrete, real-valued, and
interval-valued fluents; reusable resources,
both numeric and interval-valued; and continuous
linear change to quantities. It works in three tages.
In the first stage, a representation of the domain
and problem in an extended version of PDDL+ is
compiled into a system of Boolean combinations of
propositional atoms and linear constraints over
numeric variables. In the second stage, a SAT-based
arithmetic constraint solver, such as LPSAT or
MathSAT, is used to find a solution to the system of
constraints. In the third stage, a correct plan is
extracted from this solution. We discuss the
structure of the planner and show how planning with
time and metric quantities is compiled into a system
of constraints.