---PROGRAM ARGUMENTS---
	-----CONVERGENCE-----
beta=0.01			% If KL sum updates are less than Beta * Alpha
elitesConvergence=true			% If the distribution can converge when the elites grow too large.
numUpdatesConverged=10.0			% If KL sum updates remain below Beta for this many updates
slotFixing=false			% If slots can be fixed.

	-----EVALUATION-----
experimentMode=true			% -----MODIFIED----- % If GUI elements are to be hidden.
loadAgentObservations=false			% -----MODIFIED----- % If agent observations should be loaded from file ever.
onlineTesting=false			% If greedy testing in an online fashion.
performanceEpisodeGap=10.0			% The gap between measuring performances
policyRepeats=3.0			% Number of times policy is repeated
policyTestingSize=100.0			% Size of average performance sliding window
saveExperimentFiles=true			% -----MODIFIED----- % If module files should be saved into sub-directories so they aren't loaded in successive runs.
systemOutput=false			% -----MODIFIED----- % If the console should output data during execution.
test=false			% If just running tests
testIterations=100.0			% Number of iterations to test the final testing for

	-----SAMPLING-----
confidenceInterval=3.0			% The amount of confidence for sampling every element at least once.
elitesFunction=3.0			% The size of the elites: 0=Av # rules, 1=Sum slot means, 2=Sum # KL rules, 3=Max KL weighted rules, 4=Confidence * Max KL weighted rules * num slots * rho
elitesMultiple=1.0			% The multiplier of the elites size.
globalElites=false			% If elites remain in the set forever
initialSlotMean=0.5			% The initial slot mu probabilities.
initialSlotOrderingSD=0.25			% The SD of the slot order
retestStale=false			% If stale policies should be immediately retested.
seedModuleRules=false			% If module rules should just be loaded & seeded _once_.
splitInitially=true			% If the slots should be split at the beginning of learning
useGeneralModules=false			% If using/learning general modules
useModules=false			% If using/learning modules

	-----SPECIALISATION-----
dynamicSlots=true			% If the slots grow dynamically
inheritParent=false			% If newly created slots inherit mu(S) and o(S) of the parent slot.
numNumericalSplits=3.0			% The number of numerical splits
onlyGoalRules=false			% If the agent should only create rules with the goal condition in it
onlySplitProbable=false			% If only high mu(S) slots should split
slotThreshold=0.5			% The slot splitting threshold. -1 means use |S|-1 threshold
splitBuffer=0.1			% The final proportion of episodes which disallow slot splitting.
usingUnbound=false			% If using unbound variables instead of anonymous variables.
widerSpecialisation=false			% If including non-action specialisation conditions

	-----UPDATING-----
alpha=0.6			% Step size update
boundedElites=true			% If the minimum number of elites = |D_S|.
earlyUpdating=true			% If the algorithm should perform updates using incomplete, but viable, elites.
localAlpha=true			% If updates are performed slot locally
negativeUpdates=false			% If performing negative updates
onlineUpdates=false			% If updates are performed in an online fashion, or population-based.
resetElites=false			% If the entire elites are reset when a new slot is created.
resetSlotCount=false			% Resets the update counter in the slot after splitting.
rho=0.05			% N_E's proportion of N
-----------------------
GOAL (stack): (floor ?B) (on ?A ?B) (not (on ?C&:(<> ?C ?A) ?B))

Episode	Average	SD	Min	Max	Elite-Average	Elite-SD	NumSlots	Slots-SD	NumRules	Rules-SD
10	0.17869268245995046	0.18717205899824382	0.03395061939954758	0.0	0.45413360223174093	0.41814857226063823	5.0	0.0	24.0	0.0
20	0.1844847586005926	0.14232249386665088	0.01675485074520111	0.0	0.5139462061226368	0.3406596924001278	5.0	0.0	24.0	0.0
30	0.17109127044677735	0.09473011111056082	0.08968254178762436	0.0855555534362793	0.6020568758249283	0.26624347852128044	5.0	0.0	24.0	0.0
40	0.17307423427700996	0.06285770624872292	0.06734403222799301	0.06424501538276672	0.7116005301475525	0.2148530053512115	5.0	0.0	24.0	0.0
50	0.18688827827572824	0.07722905624628681	0.053853485733270645	0.053009260445833206	0.8066269963979721	0.2651864447283203	5.0	0.0	24.0	0.0
60	0.22323809415102006	0.06975239347875502	0.07817460596561432	0.14152777194976807	0.9186904788017273	0.16648815049753315	5.0	0.0	24.0	0.0
70	0.22103397399187089	0.05032103525410163	0.15278257429599762	0.15946893393993378	0.9658333361148834	0.05567964110981517	5.0	0.0	24.0	0.0
80	0.2299800768494606	0.045901712760451886	0.1531238555908203	0.16921626031398773	0.982962965965271	0.037939614723346504	5.0	0.0	24.0	0.0
90	0.2213650792837143	0.03751978813648367	0.14717812836170197	0.20620369911193848	0.9888888895511627	0.03513641635202159	5.0	0.0	24.0	0.0
100	0.21757459193468093	0.04026162140611203	0.13248655200004578	0.21562603116035461	0.9888888895511627	0.03513641635202159	5.0	0.0	24.0	0.0
110	0.22406795918941497	0.03939673217348454	0.1749931126832962	0.1960175484418869	1.0	0.0	5.0	0.0	24.0	0.0
120	0.23534127026796342	0.041383516767815334	0.185383602976799	0.20465277135372162	1.0	0.0	5.0	0.0	24.0	0.0
130	0.2402630403637886	0.030053330675719345	0.20333744585514069	0.21958783268928528	1.0	0.0	5.0	0.0	24.0	0.0
140	0.23947129696607589	0.02995528568242601	0.20320682227611542	0.23248064517974854	1.0	0.0	5.0	0.0	24.0	0.0
150	0.23941005170345306	0.027751517773556958	0.18964020907878876	0.22372221946716309	1.0	0.0	5.0	0.0	24.0	0.0
160	0.24130614697933198	0.02625534261720659	0.1978030651807785	0.2651512920856476	1.0	0.0	5.0	0.0	24.0	0.0
170	0.23853975534439087	0.02458261132020257	0.20381437242031097	0.27903902530670166	1.0	0.0	5.0	0.0	24.0	0.0
180	0.23508333563804626	0.02541084796268656	0.20358906686306	0.28018519282341003	1.0	0.0	5.0	0.0	24.0	0.0
190	0.24380529820919036	0.027814972503521367	0.19988404214382172	0.2840792238712311	1.0	0.0	5.0	0.0	24.0	0.0
200	0.2490498811006546	0.026127591775440853	0.20824062824249268	0.2914535105228424	1.0	0.0	5.0	0.0	24.0	0.0
210	0.25426360219717026	0.030412027573754608	0.19831444323062897	0.30095237493515015	1.0	0.0	5.0	0.0	24.0	0.0
220	0.26056390553712844	0.03540780984647904	0.18930792808532715	0.3054259717464447	1.0	0.0	5.0	0.0	24.0	0.0
230	0.26823109686374663	0.03871987462588217	0.1949901431798935	0.3223530948162079	1.0	0.0	5.0	0.0	24.0	0.0
240	0.27986755818128584	0.032966532420326766	0.21185846626758575	0.3253273665904999	1.0	0.0	5.0	0.0	24.0	0.0
250	0.2899091765284538	0.02764338754573555	0.23091872036457062	0.3235245943069458	1.0	0.0	5.0	0.0	24.0	0.0
260	0.2947431355714798	0.02657466283549284	0.25197941064834595	0.3341582715511322	1.0	0.0	5.0	0.0	24.0	0.0
270	0.30266313552856444	0.035569171021362006	0.24263963103294373	0.35510581731796265	1.0	0.0	5.0	0.0	24.0	0.0
280	0.30926252007484434	0.037096110223859634	0.25210967659950256	0.37626445293426514	1.0	0.0	5.0	0.0	24.0	0.0
290	0.31602039039134977	0.03665005905069843	0.26755502820014954	0.38051387667655945	1.0	0.0	5.0	0.0	24.0	0.0
300	0.3175537019968033	0.03687867820933029	0.2764867842197418	0.3849523663520813	1.0	0.0	5.0	0.0	24.0	0.0
310	0.3339482814073563	0.036136774871040014	0.29537567496299744	0.39828571677207947	1.0	0.0	5.0	0.0	24.0	0.0
320	0.3488040953874588	0.03684949260033675	0.31907936930656433	0.4149523675441742	1.0	0.0	5.0	0.0	24.0	0.0
330	0.36235581934452055	0.038572555050769786	0.32374075055122375	0.42639681696891785	1.0	0.0	5.0	0.0	24.0	0.0
340	0.3807474821805954	0.036304713950951056	0.33707407116889954	0.44973015785217285	1.0	0.0	5.0	0.0	24.0	0.0
350	0.3905769884586334	0.03905191756814458	0.35151851177215576	0.482785701751709	1.0	0.0	5.0	0.0	24.0	0.0
360	0.40025542080402376	0.04265152157961702	0.3737407326698303	0.49664682149887085	1.0	0.0	5.0	0.0	24.0	0.0
370	0.4132256656885147	0.038988428849294064	0.38374075293540955	0.4999801814556122	1.0	0.0	5.0	0.0	24.0	0.0
380	0.4221044987440109	0.04261720977600489	0.39950793981552124	0.5130912661552429	1.0	0.0	5.0	0.0	24.0	0.0
390	0.4381600499153137	0.03894558866740074	0.41665080189704895	0.5150912404060364	1.0	0.0	5.0	0.0	24.0	0.0
400	0.4589314818382263	0.03559062701501699	0.4499841332435608	0.5350912809371948	1.0	0.0	5.0	0.0	24.0	0.0
410	0.469777113199234	0.03751997686066803	0.4633174538612366	0.5517579317092896	1.0	0.0	5.0	0.0	24.0	0.0
420	0.4773433834314346	0.03873421016503946	0.4666507840156555	0.5550912618637085	1.0	0.0	5.0	0.0	23.9	0.31622776601683794
430	0.49241956770420076	0.04041102191507752	0.4826507866382599	0.5750912427902222	1.0	0.0	5.0	0.0	23.9	0.31622776601683794
440	0.5053087770938873	0.04264383903017084	0.49598413705825806	0.5950912833213806	1.0	0.0	5.0	0.0	23.9	0.31622776601683794
450	0.5189494669437409	0.04325687226361745	0.5053174495697021	0.6150912642478943	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
460	0.5309003949165344	0.042230339190682066	0.5277619361877441	0.6107460260391235	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
470	0.5445712983608246	0.03606462508965589	0.527317464351654	0.6007460355758667	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
480	0.5620842516422272	0.03297546297025459	0.5425026416778564	0.6087460517883301	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
490	0.5654899477958679	0.035862423651626105	0.5392434000968933	0.61343914270401	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
500	0.5757615566253662	0.036234366828592636	0.541613757610321	0.6220846772193909	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
510	0.5857312083244324	0.03951676683491144	0.5627248883247375	0.619174599647522	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
520	0.5931658744812012	0.04476435671891035	0.5636693239212036	0.6385079622268677	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
530	0.5994828045368195	0.05092340028950205	0.5682248473167419	0.6387063264846802	1.0	0.0	5.0	0.0	23.6	0.5163977794943222
540	0.6047166764736176	0.047934680244943996	0.5682248473167419	0.6489127278327942	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
550	0.611041396856308	0.05027734013129853	0.5652619004249573	0.6592618823051453	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
560	0.617896431684494	0.05573048161501316	0.5660026669502258	0.6603730320930481	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
570	0.6251948416233063	0.05487052919978702	0.5910026431083679	0.6503730416297913	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
580	0.6378876984119415	0.05250146030647259	0.6073915362358093	0.6521190404891968	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
590	0.6441252529621124	0.05071963818043031	0.6040582060813904	0.6571904420852661	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
600	0.6558177232742309	0.054521360038457686	0.6062248945236206	0.6600714325904846	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
610	0.6600468218326568	0.05178990440138127	0.6095582246780396	0.6800714135169983	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
620	0.6638420760631562	0.0546853796850405	0.6091878414154053	0.6967381238937378	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
630	0.6759354531764984	0.05218862079832114	0.6300026178359985	0.7000714540481567	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
640	0.6737707674503326	0.04971900683618019	0.6390502452850342	0.692293643951416	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
650	0.6827171921730042	0.049071645399427356	0.6512724757194519	0.6778492331504822	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
660	0.6879290997982025	0.05346789837888332	0.6457169055938721	0.6756269931793213	1.0	0.0	5.0	0.0	23.5	0.5270462766947299
670	0.6958857238292694	0.053584699876418826	0.6290502548217773	0.6954880952835083	1.0	0.0	5.0	0.0	23.4	0.5163977794943222
680	0.7021527826786041	0.052293298381759855	0.634764552116394	0.7052103281021118	1.0	0.0	5.0	0.0	23.4	0.5163977794943222
690	0.7100236713886261	0.05111004615844711	0.6442883610725403	0.7098769545555115	1.0	0.0	5.0	0.0	23.3	0.4830458915396479
700	0.7084026455879211	0.05180109676999226	0.6442883610725403	0.6954325437545776	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
710	0.7114939153194427	0.059702100049761626	0.6342883706092834	0.7054325342178345	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
720	0.71994668841362	0.06135110718148154	0.6342883706092834	0.7254325151443481	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
730	0.7203970789909363	0.06521270373223481	0.6376217007637024	0.7187658548355103	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
740	0.7261076748371125	0.07005829269378955	0.649066150188446	0.7156230211257935	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
750	0.729791933298111	0.06502456783172834	0.6630661487579346	0.7256230115890503	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
760	0.7355191767215729	0.06538519188197678	0.6432883739471436	0.7237182259559631	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
770	0.7441969573497772	0.05968799371894666	0.6603994965553284	0.7503849267959595	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
780	0.7482455015182495	0.0548950577056717	0.6618809700012207	0.7557182312011719	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
790	0.7611267149448395	0.04851520628763681	0.6940290927886963	0.7658770084381104	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
800	0.7670148968696594	0.0444536388083344	0.7127698063850403	0.7661944627761841	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
810	0.776194715499878	0.04471035386993993	0.7199920415878296	0.7860674858093262	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
820	0.7845645546913147	0.049559325516566465	0.7490476369857788	0.7834007740020752	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
830	0.7916738092899323	0.04798384495609036	0.7604920864105225	0.7867341041564941	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
840	0.7970256626605987	0.04661850200312953	0.7638254165649414	0.7967341542243958	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
850	0.8011803328990936	0.04704945914818047	0.7746896147727966	0.8103849291801453	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
860	0.8084944427013397	0.04490758592456968	0.7764179706573486	0.8126071691513062	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
870	0.8155904710292816	0.04667260248625006	0.784751296043396	0.8259404897689819	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
880	0.8199793577194214	0.04500539579218586	0.784751296043396	0.8259404897689819	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
890	0.8292333483695984	0.045969669941171395	0.7980846762657166	0.8375515937805176	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
900	0.834588497877121	0.04661593372466869	0.8114179968833923	0.8369960188865662	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
910	0.8392968237400055	0.04588314334971459	0.8214179873466492	0.8369960188865662	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
920	0.8445984125137329	0.05084873648811338	0.831417977809906	0.8369960188865662	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
930	0.8411880910396576	0.055150060412806096	0.831417977809906	0.846996009349823	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
940	0.8486722230911254	0.05858006050911552	0.8423703908920288	0.8647738099098206	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
950	0.8537555515766144	0.05814155803651018	0.8490370512008667	0.8792182207107544	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
960	0.8563563466072083	0.05849048023975726	0.8590370416641235	0.8814404606819153	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
970	0.8601711690425873	0.05699100840723403	0.8790370225906372	0.8826904892921448	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
980	0.8649582028388977	0.05642948398193387	0.8826666474342346	0.8785238265991211	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
990	0.8648202419281006	0.05387649548557041	0.8844814896583557	0.869357168674469	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
1000	0.8707535743713379	0.052603719276532034	0.8844814896583557	0.8871349096298218	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
1010	0.8777757883071899	0.05103403506866398	0.8944814801216125	0.8871349096298218	1.0	0.0	5.0	0.0	23.2	0.4216370213557839
1020	0.8817720890045166	0.05149163648913812	0.932285726070404	0.8871349096298218	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1030	0.8869915306568146	0.04785633898959648	0.932285726070404	0.8938015699386597	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1040	0.892510586977005	0.04638579292498365	0.932285726070404	0.8969444632530212	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1050	0.898201459646225	0.0444661582328894	0.932285726070404	0.8969444632530212	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1060	0.9021347880363464	0.045095557174893046	0.932285726070404	0.9069444537162781	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1070	0.9053125619888306	0.04367459530600638	0.932285726070404	0.9069444537162781	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1080	0.9084514558315278	0.043490535729428965	0.932285726070404	0.9169444441795349	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1090	0.9111588716506958	0.04585300826971859	0.932285726070404	0.9236111044883728	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1100	0.913995373249054	0.045697987436171136	0.932285726070404	0.9336110949516296	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1110	0.9147175908088684	0.046482473697927865	0.932285726070404	0.9336110949516296	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1120	0.9184575378894806	0.04432335742153944	0.932285726070404	0.9369444251060486	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1130	0.9203964293003082	0.043286501375689394	0.932285726070404	0.9336110949516296	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1140	0.9238964259624481	0.04071257780701712	0.932285726070404	0.9336110949516296	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1150	0.925507539510727	0.037741939405222906	0.932285726070404	0.9336110949516296	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1160	0.9343130946159363	0.04475241596791422	0.932285726070404	1.0	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1170	0.9348773837089539	0.04340986447917929	0.932285726070404	1.0	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1180	0.9338773846626282	0.04387933422234104	0.932285726070404	1.0	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1190	0.9338773846626282	0.04307226078625365	0.932285726070404	1.0	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1200	0.9367107212543487	0.04173141455387546	0.932285726070404	1.0	0.9990000009536744	0.003162274644385393	5.0	0.0	23.2	0.4216370213557839
1210	0.9381022453308105	0.04493978052857468	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1220	0.939164686203003	0.044496230407649	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1230	0.943361508846283	0.03935968242308464	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1240	0.9470281779766083	0.03513551142979415	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1250	0.9456281781196594	0.03577806066849877	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1260	0.9466948509216309	0.03483472270370917	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1270	0.9482948482036591	0.03220029778993021	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1280	0.9509170651435852	0.028833412909044988	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1290	0.9522976219654083	0.028417207805236905	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1300	0.9534198403358459	0.02729059986926587	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1310	0.9569754004478455	0.02579103062669032	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1320	0.9583976209163666	0.025568313810233154	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1330	0.9597309529781342	0.02404490134901143	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1340	0.9604198455810546	0.02355312223408464	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1350	0.9601595342159271	0.02433791437874194	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1360	0.9592262029647827	0.024577279313217945	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1370	0.9598928689956665	0.023661916458198495	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1380	0.9615761995315552	0.02246568509351465	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1390	0.9635761976242065	0.02204200285798603	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1400	0.9662206411361695	0.02017438340999011	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1410	0.9672317504882812	0.019697241774016275	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1420	0.9701873064041138	0.01977809923167321	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1430	0.9714761912822724	0.02053991728636218	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1440	0.9731904804706574	0.019916643397238795	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1450	0.9731904804706574	0.019916643397238795	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1460	0.9731904804706574	0.019916643397238795	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1470	0.9731904804706574	0.019916643397238795	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1480	0.974190479516983	0.019840785223643187	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
1490	0.9764571487903595	0.021467771477702603	0.932285726070404	1.0	0.998800003528595	0.00315523887025336	5.0	0.0	23.2	0.4216370213557839
Average Run Time: 0:0:4

Average episode length: 1264.5 +- 169.72477721299268

Average num slots: 0.0 +- 0.0
