$BENCH_HOME/bin/storm-pomdp --prism $BENCH_HOME/models/walk/walk.prism --prop $BENCH_HOME/models/walk/walk.props rbrmax1 -const N=40,B1=80 --timemem --statistics --check-fully-observable --reward-aware
Storm-pomdp. Sequential approach on the underlying (fully observable) observable MDP
Storm-POMDP 1.9.1 (dev)
Date: Mon Feb 10 16:22:44 2025
Command line arguments: --prism $BENCH_HOME/models/walk/walk.prism --prop $BENCH_HOME/models/walk/walk.props rbrmax1 -const 'N=40,B1=80' --timemem --statistics --check-fully-observable --reward-aware
Current working directory: $BENCH_HOME/experiments64gb
Time for model input parsing: 0.001s.
Time for model construction: 0.009s.
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Model type: POMDP (sparse)
States: 84
Transitions: 328
Choices: 207
Observations: 44
Reward Models: obsCost
State Labels: 3 labels
* deadlock -> 0 item(s)
* init -> 1 item(s)
* goal -> 1 item(s)
Choice Labels: 3 labels
* observe -> 41 item(s)
* move -> 82 item(s)
* stop -> 84 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:
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Model type: POMDP (sparse)
States: 126
Transitions: 537
Choices: 333
Observations: 47
Reward Models: obsCost
State Labels: 3 labels
* goal -> 1 item(s)
* deadlock -> 0 item(s)
* init -> 1 item(s)
Choice Labels: 3 labels
* observe -> 83 item(s)
* stop -> 126 item(s)
* move -> 124 item(s)
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Transformed formula: Pmax=? [true Urew{"obsCost"}<=80 "goal"]
Time for pre-processing: 0.000s.
Analyzing the formula on the fully observable MDP ... Epoch model for epoch <_> is cyclic.
Epoch model for epoch <0> is cyclic.
---------------------------------
Statistics:
---------------------------------
#checked epochs: 82.
overall Time: 0.001s.
Epoch Model building Time: 0.000s.
Epoch Model checking Time: 0.000s.
---------------------------------
Result: 1
Time for POMDP analysis: 0.001s.
Performance statistics:
* peak memory usage: 51MB
* CPU time: 0.018s
* wallclock time: 0.020s
############################## Notes ##############################
Storm-pomdp. Sequential approach on the underlying (fully observable) observable MDP