1
$\begingroup$

I want to perform a reinforcement learning experiment on top of an LSTM model.

The LSTM model performs an entity recognition on four entities (Products, Person, Location and others).

Now I want to use Tensorforce as an reinforcement learning engine along with my LSTM model for reinforcing misclassified events back into the model for a better model accuracy and performance.How can I achieve it ?

I came across Proximal Policy Optimisation? Is this what I should be using?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.