Comments (4)
Indeed, thank you for noticing it ! Corrected.
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The model should be like this:
const agentConfig = { model: model, agentConfig: { memorySize: 1000, batchSize: 10, temporalWindow: temporalWindow } };
Also, the academy.step should be:
await academy.step([ { teacherName: teacher, agentsInput: inputs } ])
I'm also debugging another issue with tensorflow.js but I haven't figured out why it's happen.
Error: Input 0 is incompatible with layer dense_Dense1: expected axis NaN of input shape to have value
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Thank you once more, I forgot the second part of the correction...
Can you provide an example to reproduce your bug ?
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Please ignore the error, it was caused by another third part code overriding the Object.prototype.clone.
At some point it was changing the type of the objects used by ts.js and failing in the assert.
Thanks for this awesome framework 👍
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Related Issues (16)
- Roadmap/Todos for Convolutional learning HOT 1
- How to execute actions (output) HOT 7
- basic example HOT 2
- Issue implementing the step() function
- saving the model HOT 4
- confused about using model HOT 1
- How to save and load the model? HOT 1
- Question: Why are Convolutional Networks not Recommended? HOT 1
- npm out of date; dist missing from release; build not working.
- expected dense_Dense1_input to have shape [null,12] but got array with shape [1,14] HOT 1
- Train on a dataset? HOT 1
- Is the library in a usable/robust state? HOT 2
- Error with example Code at step() HOT 2
- Unknown Loss in example Code HOT 1
- Need more informations about lesson HOT 3
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