storm.belseqc28

Benchmark
id:main_walk_rbrmax1_N040-B180 (POMDP)
Invocation (belseqc28)
$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 --revised --reward-aware --belief-exploration unfold --size-threshold 268435456
Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^28
Execution
Walltime:0.5340311527252197s
Return code:0
Note(s):Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^28
Log
Storm-POMDP 1.9.1 (dev)

Date: Mon Feb 10 15:03:44 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 --revised --reward-aware --belief-exploration unfold --size-threshold 268435456
Current working directory: $BENCH_HOME/experiments64gb

Time for model input parsing: 0.002s.

Time for model construction: 0.013s.

-------------------------------------------------------------- 
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)
-------------------------------------------------------------- 
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: 	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)
-------------------------------------------------------------- 
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...
-------------------------------------------------------------- 
Model type: 	MDP (sparse)
States: 	9566
Transitions: 	254730
Choices: 	28651
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 14355 states. 1.500627221 times more states than the original belief MDP.
Merging of sink states resulted in a model with 14349 states.
Epoch model for epoch <_> is cyclic.
---------------------------------
Statistics:
---------------------------------
          #checked epochs: 82.
             overall Time: 0.108s.
Epoch Model building Time: 0.064s.
Epoch Model checking Time: 0.043s.
---------------------------------
Time for exploring beliefs: 0.198s.
Time for building the belief MDP: 0.031s.
Time for analyzing the belief MDP: 0.182s.
##### POMDP Approximation Statistics ######
# Input model: 
-------------------------------------------------------------- 
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)
-------------------------------------------------------------- 
# Max. Number of states with same observation: 41
# Total check time: 0.420s
##########################################

Result: ≥ 0.9164207353
Time for POMDP analysis: 0.424s.

Performance statistics:
  * peak memory usage: 105MB
  * CPU time: 0.413s
  * wallclock time: 0.446s


############################## Notes ##############################
Storm-pomdp. Sequential approach, cost aware, with cutoffs and size threshold 2^28