I guess formulate the G2 cleaner
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5
main.py
5
main.py
@@ -67,9 +67,8 @@ def init_global(maze_filename):
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maze_cost[MAZE == 'T'] = 50
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maze_cost[MAZE == 'T'] = 50
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maze_cost[MAZE == 'G'] = -1
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maze_cost[MAZE == 'G'] = -1
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G1_X = maze_cost.copy()[state_mask]
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G1_X = maze_cost.copy()[state_mask]
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# maze_cost[(MAZE=='0') | (MAZE=='S') | (MAZE=='G')] += 1
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maze_cost[(MAZE=='0') | (MAZE=='S') | (MAZE=='G')] += 1
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# G2_X = maze_cost.copy()[state_mask]
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G2_X = maze_cost.copy()[state_mask]
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G2_X = G1_X + 1
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# Actual environment modelling
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# Actual environment modelling
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U_OF_X = np.zeros((SN, len(A2)), dtype=np.bool)
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U_OF_X = np.zeros((SN, len(A2)), dtype=np.bool)
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