Hello,

The two terms are almost the same thing, in general we use the word "deep" model to talk about neural network based model, in fact it should describe neural networks that are "deep", but there is no real size from which we consider that a neural network is a "deep" or "shallow". As a conclusion, in your case reinforcement neural network is the same as deep reinforcement learning.

Regards,

Thanku Othmane Marfoq for your answer. do you have any document/research paper/book in support to it.

Dear Bhanu,

I agree with the researcher who preceded me and i suggest you to see links and attached files on topic.

A Beginner's Guide to Deep Reinforcement Learning | Skymind

https://skymind.ai/wiki/deep-reinforcement-learning

Reinforcement Learning with Neural Networks for Quantum Feedback

https://journals.aps.org/prx/references/10.../PhysRevX.8.031084

Learning in Spiking Neural Networks by Reinforcement of Stochastic ...

https://www.cell.com/fulltext/S0896-6273(03)00761-X

Reinforcement Learning and/or NeuroEvolution · Issue #113 · ml5js ...

https://github.com/ml5js/ml5-library/issues/113

Best regards

Hello,

Thank you Mohamed-Mourad Lafifi, for the interesting papers. I will add Article Playing Atari with Deep Reinforcement Learning

Regards,

thank you Mohamed-Mourad Lafifi for your answer