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ApproximatePOMDPModelchecker: Improved output a bit.

tempestpy_adaptions
Tim Quatmann 5 years ago
parent
commit
c2837bb749
  1. 26
      src/storm-pomdp/modelchecker/ApproximatePOMDPModelchecker.cpp
  2. 2
      src/storm-pomdp/modelchecker/ApproximatePOMDPModelchecker.h

26
src/storm-pomdp/modelchecker/ApproximatePOMDPModelchecker.cpp

@ -133,6 +133,7 @@ namespace storm {
stream << ">=";
}
stream << statistics.overApproximationStates.get() << std::endl;
stream << "# Maximal resolution for over-approximation: " << statistics.overApproximationMaxResolution.get() << std::endl;
stream << "# Time spend for building the over-approx grid MDP(s): " << statistics.overApproximationBuildTime << std::endl;
stream << "# Time spend for checking the over-approx grid MDP(s): " << statistics.overApproximationCheckTime << std::endl;
}
@ -148,6 +149,7 @@ namespace storm {
stream << ">=";
}
stream << statistics.underApproximationStates.get() << std::endl;
stream << "# Exploration state limit for under-approximation: " << statistics.underApproximationStateLimit.get() << std::endl;
stream << "# Time spend for building the under-approx grid MDP(s): " << statistics.underApproximationBuildTime << std::endl;
stream << "# Time spend for checking the under-approx grid MDP(s): " << statistics.underApproximationCheckTime << std::endl;
}
@ -231,14 +233,16 @@ namespace storm {
// ValueType lastMinScore = storm::utility::infinity<ValueType>();
// Start refinement
statistics.refinementSteps = 0;
ValueType refinementAggressiveness = storm::utility::zero<ValueType>();
ValueType refinementAggressiveness = storm::utility::convertNumber<ValueType>(0.0);
while (result.diff() > options.refinementPrecision) {
if (storm::utility::resources::isTerminate()) {
break;
}
++statistics.refinementSteps.get();
STORM_LOG_INFO("Starting refinement step " << statistics.refinementSteps.get() << ". Current difference between lower and upper bound is " << result.diff() << ".");
// Refine over-approximation
refinementAggressiveness *= storm::utility::convertNumber<ValueType>(1.1);;
STORM_LOG_DEBUG("Refining over-approximation with aggressiveness " << refinementAggressiveness << ".");
buildOverApproximation(targetObservations, min, rewardModelName.is_initialized(), true, &refinementAggressiveness, observationResolutionVector, overApproxBeliefManager, overApproximation);
if (overApproximation->hasComputedValues()) {
overApproxValue = overApproximation->getComputedValueAtInitialState();
@ -246,16 +250,18 @@ namespace storm {
break;
}
if (result.diff() > options.refinementPrecision) {
// Refine under-approximation
underApproxSizeThreshold *= storm::utility::convertNumber<uint64_t, ValueType>(storm::utility::convertNumber<ValueType>(underApproxSizeThreshold) * (storm::utility::one<ValueType>() + refinementAggressiveness));
underApproxSizeThreshold = std::max<uint64_t>(underApproxSizeThreshold, overApproximation->getExploredMdp()->getNumberOfStates());
STORM_LOG_DEBUG("Refining under-approximation with size threshold " << underApproxSizeThreshold << ".");
buildUnderApproximation(targetObservations, min, rewardModelName.is_initialized(), underApproxSizeThreshold, underApproxBeliefManager, underApproximation);
if (underApproximation->hasComputedValues()) {
underApproxValue = underApproximation->getComputedValueAtInitialState();
} else {
break;
}
++statistics.refinementSteps.get();
}
}
}
@ -305,8 +311,9 @@ namespace storm {
STORM_LOG_ASSERT(!refine || refinementAggressiveness != nullptr, "Refinement enabled but no aggressiveness given");
STORM_LOG_ASSERT(!refine || *refinementAggressiveness >= storm::utility::zero<ValueType>(), "Can not refine with negative aggressiveness.");
STORM_LOG_ASSERT(!refine || *refinementAggressiveness <= storm::utility::one<ValueType>(), "Refinement with aggressiveness > 1 is invalid.");
uint64_t maxResolution = *std::max_element(observationResolutionVector.begin(), observationResolutionVector.end());
STORM_LOG_INFO("Refining with maximal resolution " << maxResolution << ".");
// current maximal resolution (needed for refinement heuristic)
uint64_t oldMaxResolution = *std::max_element(observationResolutionVector.begin(), observationResolutionVector.end());
statistics.overApproximationBuildTime.start();
storm::storage::BitVector refinedObservations;
@ -319,12 +326,12 @@ namespace storm {
}
} else {
// If we refine the existing overApproximation, we need to find out which observation resolutions need refinement.
auto obsRatings = getObservationRatings(overApproximation, observationResolutionVector, maxResolution);
auto obsRatings = getObservationRatings(overApproximation, observationResolutionVector, oldMaxResolution);
ValueType minRating = *std::min_element(obsRatings.begin(), obsRatings.end());
// Potentially increase the aggressiveness so that at least one observation actually gets refinement.
*refinementAggressiveness = std::max(minRating, *refinementAggressiveness);
refinedObservations = storm::utility::vector::filter<ValueType>(obsRatings, [&refinementAggressiveness](ValueType const& r) { return r <= *refinementAggressiveness;});
STORM_PRINT("Refining the resolution of " << refinedObservations.getNumberOfSetBits() << "/" << refinedObservations.size() << " observations.");
STORM_LOG_DEBUG("Refining the resolution of " << refinedObservations.getNumberOfSetBits() << "/" << refinedObservations.size() << " observations.");
for (auto const& obs : refinedObservations) {
// Heuristically increment the resolution at the refined observations (also based on the refinementAggressiveness)
ValueType incrementValue = storm::utility::one<ValueType>() + (*refinementAggressiveness) * storm::utility::convertNumber<ValueType>(observationResolutionVector[obs]);
@ -332,6 +339,7 @@ namespace storm {
}
overApproximation->restartExploration();
}
statistics.overApproximationMaxResolution = *std::max_element(observationResolutionVector.begin(), observationResolutionVector.end());
// Start exploration
std::map<uint32_t, typename ExplorerType::SuccessorObservationInformation> gatheredSuccessorObservations; // Declare here to avoid reallocations
@ -360,7 +368,7 @@ namespace storm {
overApproximation->gatherSuccessorObservationInformationAtCurrentState(action, gatheredSuccessorObservations);
for (auto const& obsInfo : gatheredSuccessorObservations) {
if (refinedObservations.get(obsInfo.first)) {
ValueType obsRating = rateObservation(obsInfo.second, observationResolutionVector[obsInfo.first], maxResolution);
ValueType obsRating = rateObservation(obsInfo.second, observationResolutionVector[obsInfo.first], oldMaxResolution);
stateActionRating = std::min(stateActionRating, obsRating);
}
}
@ -411,6 +419,7 @@ namespace storm {
overApproximation->finishExploration();
statistics.overApproximationBuildTime.stop();
STORM_LOG_DEBUG("Explored " << statistics.overApproximationStates.get() << " states.");
statistics.overApproximationCheckTime.start();
overApproximation->computeValuesOfExploredMdp(min ? storm::solver::OptimizationDirection::Minimize : storm::solver::OptimizationDirection::Maximize);
@ -421,6 +430,7 @@ namespace storm {
void ApproximatePOMDPModelchecker<PomdpModelType, BeliefValueType>::buildUnderApproximation(std::set<uint32_t> const &targetObservations, bool min, bool computeRewards, uint64_t maxStateCount, std::shared_ptr<BeliefManagerType>& beliefManager, std::shared_ptr<ExplorerType>& underApproximation) {
statistics.underApproximationBuildTime.start();
statistics.underApproximationStateLimit = maxStateCount;
if (!underApproximation->hasComputedValues()) {
// Build a new under approximation
if (computeRewards) {

2
src/storm-pomdp/modelchecker/ApproximatePOMDPModelchecker.h

@ -96,11 +96,13 @@ namespace storm {
bool overApproximationBuildAborted;
storm::utility::Stopwatch overApproximationBuildTime;
storm::utility::Stopwatch overApproximationCheckTime;
boost::optional<uint64_t> overApproximationMaxResolution;
boost::optional<uint64_t> underApproximationStates;
bool underApproximationBuildAborted;
storm::utility::Stopwatch underApproximationBuildTime;
storm::utility::Stopwatch underApproximationCheckTime;
boost::optional<uint64_t> underApproximationStateLimit;
bool aborted;
};

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