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IndexError {index: 8, min: 0, max: 8, message: "Index out of range (8 > 7)", stack: "Error↵ at new

IndexError (file:///C:/Users/Ambe…earning/LoveLetter/build/main.bundle.js:63927:25)"}index: 8 max: 8 message: "Index out of range (8 > 7)"min: 0stack: "Error↵ at new IndexError

(file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:8395:16)↵ at ./node_modules/mathjs/lib/utils/array.js.exports.validateIndex (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:58182:11)↵ at DenseMatrix.get (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:47904:7)↵ at _get (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:47976:21)↵ at DenseMatrix.subset (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:47876:16)↵ at ArrayIndex (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:37657:22)↵ at Object.subset (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:62647:22)↵ at ReinforcementAI.getQValue (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:63905:31)↵ at ReinforcementAI.getMaxQValueSAVectorGivenSAVectors (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:63913:24)↵ at ReinforcementAI.getMaxQValueGivenSAVectors (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:63927:25)"proto: RangeError
at Object../node_modules/mathjs/lib/error/IndexError.js (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:8398:24)
at webpack_require (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:20:30)
at Object../node_modules/mathjs/lib/utils/array.js (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:58088:19)
at webpack_require (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:20:30)
at Object../node_modules/mathjs/lib/utils/index.js (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:60099:17)
at webpack_require (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:20:30)
at Object../node_modules/mathjs/lib/type/matrix/Matrix.js (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:49246:12)
at webpack_require (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:20:30)
at Object../node_modules/mathjs/lib/type/matrix/index.js (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:52006:1)
at webpack_require (file:///C:/Users/Amber/Desktop/MachineLearning/LoveLetter/build/main.bundle.js:20:30)
./node_modules/mathjs/lib/utils/array.js.exports.validateIndex @ array.js:123
DenseMatrix.get @ DenseMatrix.js:160
_get @ DenseMatrix.js:232
DenseMatrix.subset @ DenseMatrix.js:132
ArrayIndex @ subset.js:50
subset @ typed-function.js:1088
getQValue @ reinforcementAI.js:176
getMaxQValueSAVectorGivenSAVectors @ reinforcementAI.js:183
getMaxQValueGivenSAVectors @ reinforcementAI.js:195
learn @ reinforcementAI.js:73
(anonymous) @ index.js:231
setTimeout (async)
nextTurn @ index.js:228
(anonymous) @ index.js:218
dispatch @ jquery-3.3.1.min.js:2
y.handle @ jquery-3.3.1.min.js:2

We some different states (start, turn, play, resolve, end) and it might be helpful to manage the states through Redux.

Right now the AI look at what's played and choose the highest value card to guess. It doesn't take into account who played those cards.

Create some kind of mode for evaluating the strength of AI in terms of win rate by letting it play some number of games.

Need more granular level tests.