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							2.2 KiB
						
					
					
				
			
		
		
		
			
			
			
				
					
				
				
					
				
			
		
		
	
	
							127 lines
						
					
					
						
							2.2 KiB
						
					
					
				
								
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								// maze example (POMDP)
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								// slightly extends that presented in
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								// Littman, Cassandra and Kaelbling
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								// Learning policies for partially observable environments: Scaling up
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								// Technical Report CS, Brown University
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								// gxn 29/01/16
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								// Made into a MDP for documentation of stormpy.
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								// state space (value of variable "s")
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								//  0  1  2  3  4
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								//  5     6     7
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								//  8     9    10
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								// 11     13   12
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								// 13 is the target
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								mdp
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								module maze
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									s : [-1..13];
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									// initialisation
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									[] s=-1 -> 1/13 : (s'=0)
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											 + 1/13 : (s'=1)
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											 + 1/13 : (s'=2)
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											 + 1/13 : (s'=3)
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											 + 1/13 : (s'=4)
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											 + 1/13 : (s'=5)
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											 + 1/13 : (s'=6)
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											 + 1/13 : (s'=7)
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											 + 1/13 : (s'=8)
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											 + 1/13 : (s'=9)
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											 + 1/13 : (s'=10)
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											 + 1/13 : (s'=11)
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											 + 1/13 : (s'=12);
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									// moving around the maze
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									[east] s=0 -> (s'=1);
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									[west] s=0 -> (s'=0);
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									[north] s=0 -> (s'=0);
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									[south] s=0 -> (s'=5);
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									[east] s=1 -> (s'=2);
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									[west] s=1 -> (s'=0);
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									[north] s=1 -> (s'=1);
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									[south] s=1 -> (s'=1);
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									[east] s=2 -> (s'=3);
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									[west] s=2 -> (s'=1);
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									[north] s=2 -> (s'=2);
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									[south] s=2 -> (s'=6);
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									[east] s=3 -> (s'=4);
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									[west] s=3 -> (s'=2);
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									[north] s=3 -> (s'=3);
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									[south] s=3 -> (s'=3);
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									[east] s=4 -> (s'=4);
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									[west] s=4 -> (s'=3);
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									[north] s=4 -> (s'=4);
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									[south] s=4 -> (s'=7);
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									[east] s=5 -> (s'=5);
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									[west] s=5 -> (s'=5);
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									[north] s=5 -> (s'=0);
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									[south] s=5 -> (s'=8);
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									[east] s=6 -> (s'=6);
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									[west] s=6 -> (s'=6);
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									[north] s=6 -> (s'=2);
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									[south] s=6 -> (s'=9);
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									[east] s=7 -> (s'=7);
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									[west] s=7 -> (s'=7);
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									[north] s=7 -> (s'=4);
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									[south] s=7 -> (s'=10);
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									[east] s=8 -> (s'=8);
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									[west] s=8 -> (s'=8);
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									[north] s=8 -> (s'=5);
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									[south] s=8 -> (s'=11);
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									[east] s=9 -> (s'=9);
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									[west] s=9 -> (s'=9);
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									[north] s=9 -> (s'=6);
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									[south] s=9 -> (s'=13);
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									[east] s=10 -> (s'=10);
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									[west] s=10 -> (s'=10);
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									[north] s=10 -> (s'=7);
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									[south] s=10 -> (s'=12);
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									[east] s=11 -> (s'=11);
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									[west] s=11 -> (s'=11);
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									[north] s=11 -> (s'=8);
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									[south] s=11 -> (s'=11);
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									[east] s=12 -> (s'=12);
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									[west] s=12 -> (s'=12);
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									[north] s=12 -> (s'=10);
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									[south] s=12 -> (s'=12);
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									// loop when we reach the target
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									[done] s=13 -> true;
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								endmodule
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								// reward structure (number of steps to reach the target)
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								rewards
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									[east] true : 1;
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									[west] true : 1;
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									[north] true : 1;
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									[south] true : 1;
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								endrewards
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								// target observation
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								label "goal" = s=13;
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