$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 unfold --size-threshold 33554432
Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^25
Storm-POMDP 1.9.1 (dev)
Date: Mon Feb 10 15:03:49 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 unfold --size-threshold 33554432
Current working directory: $BENCH_HOME/experiments64gb
Time for model input parsing: 0.001s.
Time for model construction: 0.008s.
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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)
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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: 55845
Transitions: 3863263
Choices: 167408
Reward Models: obsCost
State Labels: 3 labels
* target -> 1 item(s)
* init -> 1 item(s)
* bottom -> 1 item(s)
Choice Labels: none
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Analyzing property 'Pmax=? [true Urew{"obsCost"}<=80 "target"]' on the belief MDP...
Transformation of transition rewards resulted in a model with 83709 states. 1.498952458 times more states than the original belief MDP.
Merging of sink states resulted in a model with 83703 states.
Epoch model for epoch <_> is cyclic.
---------------------------------
Statistics:
---------------------------------
#checked epochs: 82.
overall Time: 1.788s.
Epoch Model building Time: 1.076s.
Epoch Model checking Time: 0.711s.
---------------------------------
Time for exploring beliefs: 6.279s.
Time for building the belief MDP: 1.942s.
Time for analyzing the belief MDP: 2.807s.
##### 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: 11.117s
##########################################
Result: ≥ 0.8953136945
Time for POMDP analysis: 11.189s.
Performance statistics:
* peak memory usage: 1007MB
* CPU time: 10.905s
* wallclock time: 11.201s
############################## Notes ##############################
Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^25