Comments (2)
it's probably dividing by the length of your actions vec.
your State::actions
should return all possible actions the AI can make, it'll select from those for the output.
edit: they should prob make an explicit panic if it detects the actions length as 0 though to not confuse people
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https://github.com/milanboers/rurel/blob/master/src/examples/weightedcoin.rs The weighted coin example demonstrates how to train with terminating states.
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Related Issues (11)
- Sink States HOT 3
- Train by individual steps HOT 1
- Eucdist example doesn't seem to be correct HOT 2
- How to make 2 networks play against each other? HOT 1
- Usage for future values? HOT 1
- Saving model to disk HOT 2
- Dumping results to file
- Document your code, please. HOT 1
- Example doesn't "learn" anything HOT 2
- Empty list of actions panics HOT 3
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