Timeline for How to build a DQN agent which can be trained through interactive learning?
Current License: CC BY-SA 4.0
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| Mar 28, 2019 at 17:12 | comment | added | Most Wanted | @mayankagrawal I guess you need to at least be familiar with some base approaches, so nltk.org/book is a good place to start. If you want to go right away to implementing - use tensorflow.org/tutorials/sequences/text_generation or tensorflow.org/tutorials/keras/basic_text_classification to understand how text is represented with a model. | |
| Mar 28, 2019 at 13:01 | comment | added | mayank agrawal | Thank you for a proper explanation. This definitely makes things clearer. Do you know of any implementations of such an approach in which directly the user trains the model? | |
| Mar 27, 2019 at 18:14 | history | answered | Most Wanted | CC BY-SA 4.0 |