sefer

Build #2. there's a bare-bones inventory / status screen (press "i"). A handful of other new features.

rough prototype I've been working on for... the past couple months, I guess. Z to interact and C to attack.

Overhead run #1 February 22

run length:21
	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19
avg	0.1320231	0.1321056	0.1404736	0.1392569	0.143763	0.1505185	0.1550273	0.1582035	0.1582686	0.1594336	0.174824	0.1981015	0.1812547	0.1826551	0.1921308	0.2093167	0.2110839	0.2198089	0.1908351	0.2198777
max	0.3758555	0.3344969	0.3349236	0.3368345	0.316483	0.3183554	0.314951	0.3241109	0.3005303	0.3569724	0.3606369	0.3441672	0.3402658	0.3668836	0.4549326	0.5728672	0.5149349	0.4504955	0.3824925	0.4372288

Population Size: 100
Run Length: 20
Do Training: False
Do Hybrid Training: True
Do Competitive Run: False
Inputs: hasTarget,targetLeft,targetRight,targetNorth,targetSouth,dirToTarget,distToTarget,grounded,wall,ladder,sensor0,sensor1,sensor2
Outputs: left,right,up,down,run,jump,sensordir0,sensordir1,sensordir2
Hidden Layers: 8 12 12 8
Back Propogation: True
Learning rate: 0.5
Momentum: 0.1
Growth rate: 0.5

combine 1&2 (another) December 6

run length:18
	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
avg	0.04617948	0.05505114	0.05726159	0.1113438	0.3666977	0.6633666	0.9015056	0.9556229	1.076961	1.043033	1.134155	0.8381042	1.14227	0.9160503	0.7295793	1.106027	1.074763
max	0.3639081	0.4402913	0.6078424	1.097467	1.171866	1.172533	1.132085	1.06631	1.158416	1.166749	1.162352	1.155228	1.174937	1.146938	1.149602	1.16507	1.174278

Population Size: 100
Run Length: 30
Do Training: False
Do Hybrid Training: True
Do Competitive Run: False
Inputs: hasTarget,targetLeft,targetRight,dirToTarget,distToTarget,grounded,wall,ladder,sensor0,sensor1,sensor2
Outputs: left,right,up,down,run,jump,sensordir0,sensordir1,sensordir2
Hidden Layers: 8 12 12 8
Back Propogation: True

combine 1&2 December 3

run length:14
	0	1	2	3	4	5	6	7	8	9	10	11	12
avg	0.04764697	0.06332926	0.118383	0.1687358	0.3392991	0.3930304	0.5513024	0.4312241	0.544862	0.3807799	0.3964986	0.5992258	0.4912683
max	0.4415118	0.3767597	0.609001	0.5077696	0.6022869	0.4842695	0.6285691	0.4431992	0.5540696	0.385717	0.4110918	0.6065688	0.4988188

Population Size:100
Run Length:30
Do Training:False
Do Hybrid Training:True
Do Competitive Run:False
Inputs:hasTarget,targetLeft,targetRight,dirToTarget,distToTarget,grounded,wall,ladder,sensor0,sensor1,sensor2
Outputs:left,right,up,down,run,jump,sensordir0,sensordir1,sensordir2
Hidden Layers:8 12 12 8
Back Propogation:True

This next run combined runs 1 & 2. Seems to have zeroed in on the solution to #1 too soon, and they all just sat still for the second target (the one to the left). never budged, never really tried any other strategies.

run length:11
	0	1	2	3	4	5	6	7	8	9
avg	0.05495061	0.07028986	0.09401318	0.1633248	0.2587227	0.3632743	0.3839059	0.2594621	0.465565	0.3323208
max	0.4363983	0.5229375	0.50828	0.4807965	0.629285	1.111155	1.166825	0.6288798	0.99655	0.4018002

Population Size: 100
Run Length: 30
Do Training: False
Do Hybrid Training: True
Do Competitive Run: False
Inputs: hasTarget,targetLeft,targetRight,dirToTarget,distToTarget,grounded,wall,ladder,sensor0,sensor1,sensor2
Outputs: left,right,up,down,run,jump,sensordir0,sensordir1,sensordir2
Hidden Layers: 8 12 12 8
Back Propogation: True

Second try saw a couple different hunters seek out either the left or the right, but I got impatient & didn't see one reach both targets.