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stats.txt
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stats.txt
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1 = 0.493 (around that)
2 = 2.257
3 = 0.421
4 =
Training maps: Goal-wise Stats
10:==
ac: 0.925, ls: -0.0875, r: 0.55
11:==
ac: 0.95, ls: -0.02333333333333333, r: 0.775
12:==
ac: 0.925, ls: 0.0375, r: 0.8
13:==
ac: 0.875, ls: 0.0625, r: 0.9
14:==
ac: 0.95, ls: 0.005, r: 0.875
15:==
ac: 0.8, ls: 0.2791666666666667, r: 0.775
16:==
ac: 0.925, ls: 0.0012499999999999998, r: 0.625
17:==
ac: 0.9, ls: 0.0008333333333333318, r: 0.7
18:==
ac: 0.8, ls: 0.2583333333333333, r: 0.775
19:==
ac: 0.875, ls: 0.062499999999999986, r: 0.75
Training maps: Overall Stats
Accuracy:0.8925000000000001
Loss:0.059625
Reward:0.7525000000000001
Testing maps: Goal-wise Stats
10:==
ac: 1.0, ls: 0.0, r: 0.9
11:==
ac: 1.0, ls: 0.0, r: 0.8
12:==
ac: 1.0, ls: 0.0, r: 0.9
13:==
ac: 1.0, ls: 0.0, r: 0.8
14:==
ac: 1.0, ls: 0.0, r: 0.9
15:==
ac: 0.9, ls: 0.15, r: 0.9
16:==
ac: 1.0, ls: 0.0, r: 0.8
17:==
ac: 0.9, ls: 0.03333333333333333, r: 0.6
18:==
ac: 0.8, ls: -0.016666666666666673, r: 0.7
19:==
ac: 0.9, ls: 0.025, r: 0.9
Testing maps: Overall Stats
Accuracy:0.9500000000000002
Loss:0.019166666666666665
Reward:0.8200000000000001
------------------------------------------
Optimal lengths
------------------------------------------
Train
(0, 11)
(1, 12)
(2, 23)
(3, 24)
(4, 24)
(5, 32)
(6, 12)
(7, 13)
(8, 12)
(9, 12)
(10, 9)
(11, 4) ! 3
(12, 19)
(13, 13)
(14, 15)
(15, 13)
(16, 28)
(17, 16)
(18, 18)
(19, 19)
(20, 9)
(21, 16)
(22, 10)
(23, 10)
Test
(0, 5)
(1, 21)
(2, 14)
(3, 9)
(4, 9)
(5, 5)
(6, 32)
(7, 21)
(8, 11)
33 in total
---------------------------------------------------------------
Method | Accuracy | Time | Lengths