$BENCH_HOME/bin/storm-pomdp --prism $BENCH_HOME/models/walk/walk.prism --prop $BENCH_HOME/models/walk/walk.props rbrmax1 -const N=120,B1=80 --timemem --statistics --revised --reward-aware --belief-exploration discretize --resolution 12 --triangulationmode static
Storm-pomdp. Sequential approach, cost aware, with discretization and resolution 12
Storm-POMDP 1.9.1 (dev)
Date: Mon Feb 10 15:03:50 2025
Command line arguments: --prism $BENCH_HOME/models/walk/walk.prism --prop $BENCH_HOME/models/walk/walk.props rbrmax1 -const 'N=120,B1=80' --timemem --statistics --revised --reward-aware --belief-exploration discretize --resolution 12 --triangulationmode static
Current working directory: $BENCH_HOME/experiments64gb
Time for model input parsing: 0.001s.
Time for model construction: 0.007s.
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Model type: POMDP (sparse)
States: 244
Transitions: 968
Choices: 607
Observations: 124
Reward Models: obsCost
State Labels: 3 labels
* deadlock -> 0 item(s)
* init -> 1 item(s)
* goal -> 1 item(s)
Choice Labels: 3 labels
* observe -> 121 item(s)
* move -> 242 item(s)
* stop -> 244 item(s)
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Analyzing property 'Pmax=? [true Urew{"obsCost"}<=80 "goal"]'
Extend observation function to become reward aware.
bounded reachability processing done. POMDP Information:
--------------------------------------------------------------
Model type: POMDP (sparse)
States: 366
Transitions: 1577
Choices: 973
Observations: 126
Reward Models: obsCost
State Labels: 3 labels
* goal -> 1 item(s)
* deadlock -> 0 item(s)
* init -> 1 item(s)
Choice Labels: 3 labels
* observe -> 243 item(s)
* stop -> 366 item(s)
* move -> 364 item(s)
--------------------------------------------------------------
Transformed formula: Pmax=? [true Urew{"obsCost"}<=80 "goal"]
Time for pre-processing: 0.000s.
Exploring the belief MDP...
Exploring the belief space...
Constructing the belief MDP...
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Model type: MDP (sparse)
States: 24604
Transitions: 276303
Choices: 73685
Reward Models: obsCost
State Labels: 3 labels
* target -> 1 item(s)
* init -> 1 item(s)
* bottom -> 1 item(s)
Choice Labels: none
--------------------------------------------------------------
Analyzing property 'Pmax=? [true Urew{"obsCost"}<=80 "target"]' on the belief MDP...
Transformation of transition rewards resulted in a model with 36965 states. 1.502397984 times more states than the original belief MDP.
Merging of sink states resulted in a model with 36959 states.
Epoch model for epoch <_> is cyclic.
Epoch model for epoch <0> is cyclic.
---------------------------------
Statistics:
---------------------------------
#checked epochs: 82.
overall Time: 0.417s.
Epoch Model building Time: 0.101s.
Epoch Model checking Time: 0.315s.
---------------------------------
Time for exploring beliefs: 0.166s.
Time for building the belief MDP: 0.017s.
Time for analyzing the belief MDP: 0.522s.
##### POMDP Approximation Statistics ######
# Input model:
--------------------------------------------------------------
Model type: POMDP (sparse)
States: 366
Transitions: 1577
Choices: 973
Observations: 126
Reward Models: obsCost
State Labels: 3 labels
* goal -> 1 item(s)
* deadlock -> 0 item(s)
* init -> 1 item(s)
Choice Labels: 3 labels
* observe -> 243 item(s)
* stop -> 366 item(s)
* move -> 364 item(s)
--------------------------------------------------------------
# Max. Number of states with same observation: 121
# Total check time: 0.720s
##########################################
Result: ≤ 0.952108154
Time for POMDP analysis: 0.724s.
Performance statistics:
* peak memory usage: 131MB
* CPU time: 0.715s
* wallclock time: 0.734s
############################## Notes ##############################
Storm-pomdp. Sequential approach, cost aware, with discretization and resolution 12