# storm.belseqd15

Benchmark

id: | main_rover_rbrmax3_B1600-B21080-B3600 (POMDP)

Invocation (belseqd15)

    $BENCH_HOME/bin/storm-pomdp --prism $BENCH_HOME/models/rover/rover.prism --prop $BENCH_HOME/models/rover/rover.props rbrmax3 -const B1=600,B2=1080,B3=600 --timemem --statistics --revised --reward-aware --belief-exploration discretize --resolution 15 --triangulationmode static

Storm-pomdp. Sequential approach, cost aware, with discretization and resolution 15
Execution

Walltime: | 461.9294443130493s
Return code: | 0
Note(s): | Storm-pomdp. Sequential approach, cost aware, with discretization and resolution 15

Log

    Storm-POMDP 1.9.1 (dev)

    Date: Mon Feb 10 14:44:19 2025
    Command line arguments: --prism $BENCH_HOME/models/rover/rover.prism --prop $BENCH_HOME/models/rover/rover.props rbrmax3 -const 'B1=600,B2=1080,B3=600' --timemem --statistics --revised --reward-aware --belief-exploration discretize --resolution 15 --triangulationmode static
    Current working directory: $BENCH_HOME/experiments64gb

    Time for model input parsing: 0.002s.

    Time for model construction: 0.009s.

    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	16
    Transitions: 	30
    Choices: 	20
    Observations: 	9
    Reward Models:  value, time, energy
    State Labels: 	3 labels
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
       * done -> 1 item(s)
    Choice Labels: 	6 labels
       * done -> 2 item(s)
       * task_done -> 14 item(s)
       * task1_start -> 1 item(s)
       * task2_start -> 1 item(s)
       * task4_start -> 1 item(s)
       * task3_start -> 1 item(s)
    --------------------------------------------------------------
    Analyzing property 'Pmax=? [true U^{rew{"value"}>=600 , rew{"time"}<=1080 , rew{"energy"}<=600 }(done)]'
    Extend observation function to become reward aware.
    bounded reachability processing done. POMDP Information:
    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	29
    Transitions: 	225
    Choices: 	85
    Observations: 	26
    Reward Models:  value, time, energy
    State Labels: 	3 labels
       * done -> 1 item(s)
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
    Choice Labels: 	6 labels
       * task3_start -> 14 item(s)
       * task4_start -> 14 item(s)
       * task2_start -> 14 item(s)
       * task1_start -> 14 item(s)
       * task_done -> 14 item(s)
       * done -> 15 item(s)
    --------------------------------------------------------------
    Transformed formula: Pmax=? [true U^{rew{"value"}>=600 , rew{"time"}<=1080 , rew{"energy"}<=600 }(done)]
    Time for pre-processing: 0.000s.
    Exploring the belief MDP...
    Exploring the belief space...
    Constructing the belief MDP...
    --------------------------------------------------------------
    Model type: 	MDP (sparse)
    States: 	25
    Transitions: 	160
    Choices: 	81
    Reward Models:  energy, time, value
    State Labels: 	3 labels
       * target -> 1 item(s)
       * init -> 1 item(s)
       * bottom -> 1 item(s)
    Choice Labels: 	none
    --------------------------------------------------------------
    Analyzing property 'Pmax=? [true U^{rew{"value"}>=600 , rew{"time"}<=1080 , rew{"energy"}<=600 }"target"]' on the belief MDP...
    Transformation of transition rewards resulted in a model with 38 states. 1.52 times more states than the original belief MDP.
    Merging of sink states resulted in a model with 37 states.
    Epoch model for epoch <0, _, _> is cyclic.
    ---------------------------------
    Statistics:
    ---------------------------------
              #checked epochs: 19568501.
                 overall Time: 399.152s.
    Epoch Model building Time: 88.549s.
    Epoch Model checking Time: 78.399s.
    ---------------------------------
    Time for exploring beliefs: 0.000s.
    Time for building the belief MDP: 0.000s.
    Time for analyzing the belief MDP: 461.592s.
    ##### POMDP Approximation Statistics ######
    # Input model:
    --------------------------------------------------------------
    Model type: 	POMDP (sparse)
    States: 	29
    Transitions: 	225
    Choices: 	85
    Observations: 	26
    Reward Models:  value, time, energy
    State Labels: 	3 labels
       * done -> 1 item(s)
       * deadlock -> 0 item(s)
       * init -> 1 item(s)
    Choice Labels: 	6 labels
       * task3_start -> 14 item(s)
       * task4_start -> 14 item(s)
       * task2_start -> 14 item(s)
       * task1_start -> 14 item(s)
       * task_done -> 14 item(s)
       * done -> 15 item(s)
    --------------------------------------------------------------
    # Max. Number of states with same observation: 2
    # Total check time: 461.592s
    ##########################################

    Result: ≤ 0.9510782147
    Time for POMDP analysis: 461.592s.

    Performance statistics:
      * peak memory usage: 1078MB
      * CPU time: 459.921s
      * wallclock time: 461.883s

    ############################## Notes ##############################
    Storm-pomdp. Sequential approach, cost aware, with discretization and resolution 15