# storm.belseqc22

Benchmark

id: | lvls_clean_rbrmax2_N6-B160-B25-__lvl106-__lvl20 (POMDP)

Invocation (belseqc22)

    $BENCH_HOME/bin/storm-pomdp --prism $BENCH_HOME/models/clean/clean.prism --prop $BENCH_HOME/models/clean/clean.props rbrmax2 -const N=6,B1=60,B2=5 --timemem --statistics --revised --reward-aware 6,0 --belief-exploration unfold --size-threshold 4194304

Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^22
Execution

Walltime: | 41.574053049087524s
Return code: | 0
Note(s): | Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^22

Log

    Storm-POMDP 1.9.1 (dev)

    Date: Mon Feb 10 10:26:17 2025
    Command line arguments: --prism $BENCH_HOME/models/clean/clean.prism --prop $BENCH_HOME/models/clean/clean.props rbrmax2 -const 'N=6,B1=60,B2=5' --timemem --statistics --revised --reward-aware '6,0' --belief-exploration unfold --size-threshold 4194304
    Current working directory: $BENCH_HOME/experiments64gb

    Time for model input parsing: 0.002s.

    Time for model construction: 0.014s.

    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	37
    Transitions: 	74
    Choices: 	50
    Observations: 	2
    Reward Models:  energy, clean
    State Labels: 	3 labels
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
       * goal -> 1 item(s)
    Choice Labels: 	3 labels
       * clean -> 13 item(s)
       * move -> 13 item(s)
       * consume -> 24 item(s)
    --------------------------------------------------------------
    Analyzing property 'Pmax=? [true U^{rew{"energy"}<=60 , rew{"clean"}>5 }"goal"]'
    Perform unfolding for observation levels.
    bounded reachability processing done. POMDP Information:
    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	478
    Transitions: 	1067
    Choices: 	704
    Observations: 	5
    Reward Models:  dim0_levelReward
    State Labels: 	4 labels
       * goal -> 49 item(s)
       * dim1_active -> 7 item(s)
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
    Choice Labels: 	3 labels
       * move -> 226 item(s)
       * consume -> 252 item(s)
       * clean -> 226 item(s)
    --------------------------------------------------------------
    Transformed formula: Pmax=? [true Urew{"dim0_levelReward"}<=10 ("goal" & "dim1_active")]
    Time for pre-processing: 0.000s.
    Exploring the belief MDP...
    Exploring the belief space...
    Exploration stopped before all beliefs were explored. 4194305 beliefs discovered. 3702758 beliefs explored.
    Constructing the belief MDP...
    --------------------------------------------------------------
    Model type: 	MDP (sparse)
    States: 	4194306
    Transitions: 	8733078
    Choices: 	6536532
    Reward Models:  dim0_levelReward
    State Labels: 	3 labels
       * target -> 4240 item(s)
       * init -> 1 item(s)
       * bottom -> 1 item(s)
    Choice Labels: 	none
    --------------------------------------------------------------
    Analyzing property 'Pmax=? [true Urew{"dim0_levelReward"}<=10 "target"]' on the belief MDP...
    Transformation of transition rewards resulted in a model with 4875447 states. 1.162396592 times more states than the original belief MDP.
    Merging of sink states resulted in a model with 1236913 states.
    Epoch model for epoch <_> is cyclic.
    ---------------------------------
    Statistics:
    ---------------------------------
              #checked epochs: 12.
                 overall Time: 2.893s.
    Epoch Model building Time: 1.839s.
    Epoch Model checking Time: 1.053s.
    ---------------------------------
    Time for exploring beliefs: 26.904s.
    Time for building the belief MDP: 3.206s.
    Time for analyzing the belief MDP: 7.338s.
    ##### POMDP Approximation Statistics ######
    # Input model:
    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	478
    Transitions: 	1067
    Choices: 	704
    Observations: 	7
    Reward Models:  dim0_levelReward
    State Labels: 	4 labels
       * goal -> 49 item(s)
       * dim1_active -> 7 item(s)
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
    Choice Labels: 	3 labels
       * move -> 226 item(s)
       * consume -> 252 item(s)
       * clean -> 226 item(s)
    --------------------------------------------------------------
    # Max. Number of states with same observation: 252
    # Total check time: 41.360s
    ##########################################

    Result: ≥ 0.9188374351
    Time for POMDP analysis: 41.360s.

    Performance statistics:
      * peak memory usage: 6248MB
      * CPU time: 37.946s
      * wallclock time: 41.379s

    ############################## Notes ##############################
    Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^22