diff --git a/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.cpp b/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.cpp
index 0916fd94c..f7a1a8467 100644
--- a/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.cpp
+++ b/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.cpp
@@ -124,6 +124,57 @@ namespace storm {
                 STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Multi-objective model checking with reward bounded objectives is not supported.");
             }
             
+            template<class SparseModelType>
+            void SparseMdpPcaaWeightVectorChecker<SparseModelType>::discretizeRewardBounds() {
+                
+                std::map<std::string, uint_fast64_t> rewardModelNameToDimension;
+                objIndexToRewardDimensionMapping = std::vector<uint_fast64_t>(this->objectives.size(), std::numeric_limits<uint_fast64_t>::max());
+                
+                // Collect the reward models that occur as reward bound
+                uint_fast64_t dimensionCount = 0;
+                for (uint_fast64_t objIndex = 0; objIndex < this->objectives.size(); ++objIndex) {
+                    auto const& obj = this->objectives[objIndex];
+                    if (obj.timeBoundReference && obj.timeBoundReference->isRewardBound()) {
+                        auto insertionRes = rewardModelNameToDimension.insert(std::make_pair(obj.timeBoundReference->getRewardName(), dimensionCount));
+                        objIndexToRewardDimensionMapping[objIndex] = insertionRes.first->second;
+                        if (insertionRes.second) {
+                            ++dimensionCount;
+                        }
+                    }
+                }
+
+                // Now discretize each reward
+                discretizedActionRewards.reserve(dimensionCount);
+                discretizedRewardBounds = std::vector<uint_fast64_t>(this->objectives.size(), 0);
+                for (auto const& rewardName : rewardModelNameToDimension) {
+                    STORM_LOG_THROW(this->model.hasRewardModel(rewardName.first), storm::exceptions::IllegalArgumentException, "No reward model with name '" << rewardName.first << "' found.");
+                    auto const& rewardModel = this->model.getRewardModel(rewardName.first);
+                    STORM_LOG_THROW(!rewardModel.hasTransitionRewards(), storm::exceptions::NotSupportedException, "Transition rewards are currently not supported.");
+                    std::vector<typename RewardModelType::ValueType> actionRewards = rewardModel.getTotalRewardVector(this->model.getTransitionMatrix());
+                    auto discretizedRewardsAndFactor = storm::utility::vector::toIntegralVector<typename RewardModelType::ValueType, uint_fast64_t>(actionRewards);
+   
+                    discretizedActionRewards.push_back(std::move(discretizedRewardsAndFactor.first));
+                    // Find all objectives that reffer to this reward model and apply the discretization factor to the reward bounds
+                    for (uint_fast64_t objIndex = 0; objIndex < objIndexToRewardDimensionMapping.size(); ++objIndex) {
+                        if (objIndexToRewardDimensionMapping[objIndex] == rewardName.second) {
+                            auto const& obj = this->objectives[objIndex];
+                            STORM_LOG_THROW(!obj.lowerTimeBound, storm::exceptions::NotSupportedException, "Lower time bounds are not supported.");
+                            STORM_LOG_THROW(obj.upperTimeBound, storm::exceptions::UnexpectedException, "Got formula with a bound reference but no bound.");
+                            STORM_LOG_THROW(!obj.upperTimeBound->getBound().containsVariables(), storm::exceptions::UnexpectedException, "The upper bound of a reward bounded formula still contains variables.");
+                            typename RewardModelType::ValueType discretizedBound = storm::utility::convertNumber<typename RewardModelType::ValueType>(obj.upperTimeBound->getBound().evaluateAsRational());
+                            discretizedBound /= discretizedRewardsAndFactor.second;
+                            if (obj.upperTimeBound->isStrict() && discretizedBound == storm::utility::floor(discretizedBound)) {
+                                discretizedBound = storm::utility::floor(discretizedBound) - storm::utility::one<ValueType>();
+                            } else {
+                                discretizedBound = storm::utility::floor(discretizedBound);
+                            }
+                            discretizedRewardBounds[objIndex] = storm::utility::convertNumber<uint_fast64_t>(discretizedBound);
+                        }
+                    }
+                }
+            }
+            
+            
             
             template class SparseMdpPcaaWeightVectorChecker<storm::models::sparse::Mdp<double>>;
 #ifdef STORM_HAVE_CARL
diff --git a/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.h b/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.h
index a04bd9455..4e6709680 100644
--- a/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.h
+++ b/src/storm/modelchecker/multiobjective/pcaa/SparseMdpPcaaWeightVectorChecker.h
@@ -65,7 +65,19 @@ namespace storm {
                  */
                 void boundedPhaseWithRewardBounds(std::vector<ValueType> const& weightVector, std::vector<ValueType>& weightedRewardVector);
                 
- 
+                
+                /*!
+                 * Discretizes the reward models that occurr at some bounded formula
+                 */
+                void discretizeRewardBounds();
+                
+                
+                
+                
+                std::vector<uint64_t> objIndexToRewardDimensionMapping;
+                std::vector<std::vector<uint64_t>> discretizedActionRewards;
+                std::vector<uint64_t> discretizedRewardBounds;
+
                 
             };