MOMAPPO Implementation for CrazyRL #20
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umutucak
commented
Dec 15, 2023
rradules
reviewed
Dec 18, 2023
ffelten
approved these changes
Dec 22, 2023
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I've ported over @ffelten's MOMAPPO for continuous env implementation to the momaland API.
This implementation uses single objective collapse with MAPPO. Rewards are scalarized using the LinerizeReward wrapper at Line 206.
To generate the weights, there is a loop outside of the training where we iterate over the weights we want. That is at Line 519.