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RL4J: Weighted Double Q Learning #5275

AlexDBlack opened this issue May 21, 2018 · 0 comments


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commented May 21, 2018

From @tom-adsfund on May 12, 2018 3:5

Double Q Learning (greatly) improved on Q Learning to prevent inevitable upward bias.

But DQL has its own (downward) bias issues, which is where WDQL comes in.


Has been used recently in multi agent cooperative reinforcement with success:

Copied from original issue: deeplearning4j/rl4j#95

@AlexDBlack AlexDBlack changed the title Weighted Double Q Learning RL4J: Weighted Double Q Learning May 21, 2018

@AlexDBlack AlexDBlack added the RL4J label May 21, 2018

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