data:image/png;base64,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de:tue nichts
Ball20000de:erzeuge Modell mit Lernrate: _ Diskontierungsfaktor: _ Explorationsrate: _ Liste verfügbarer Aktionen: _
0.750.90.05de:bestes Verhalten für Zustand: _ Modell: _
maxValuechosenActionactionsZeromaxValue2chosenAction2actionsZeroi201de:bewege runter
de:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
qitem1de:aktualisiere Modell _ alter Zustand: _ neuer Zustand: _ Belohnung: _ gezeigtes Verhalten: _
de:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:ist _ leer?
ca:_ buida?
es:_ vacía?
fr:_ vide?
de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
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