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Created Deep Recurrent Q-Network example #85

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Created Deep Recurrent Q-Network example #85

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Commits on Dec 25, 2018

  1. Create cartpole-drqn.py 

    This shows the way to implement Deep Recurrent Q-Network (DRQN) model for the Cartpole case. I had to expand the state input to include a few number of past state data and created a meaningful sequential input stream for Long and Short-Term Memory (LSTM) model. Otherwise, it did not work with just current state information. This sounds like violating the Markov property assumption but this does the job.
    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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  2. Merge pull request #1 from Douglas-Cho/Douglas-Cho-drqn-1 

    Create cartpole-drqn.py
    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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  3. the graph for drqn

    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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  4. Merge pull request #2 from Douglas-Cho/Douglas-Cho-drqn-2 

    the graph for drqn
    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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  5. saved weights for drqn

    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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  6. Merge pull request #3 from Douglas-Cho/Douglas-Cho-drqn-3 

    saved weights for drqn
    @Douglas-Cho
    Douglas-Cho authored Dec 25, 2018
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