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Please, can someone give advice what journals are good for first publication in the field of Deep Reinforcement Learning?

I am in process of writing about research results of DQN related algorithms.

I have 3 requirements - it should be indexed in one of these databases, otherwise, I cannot receive grant money for research:

And it should not be very expensive to publish. It should be under 1000EUR to publish, for example, Open Access license for Elsevier "Artificial Intelligence" journal costs around 2400EUR to publish.

And it should not have very long review/publishing period. For example, Elsevier "Information Fusion" journal currently gathers articles for July 2018, that is 8 month period till publishing. Is it normal?

Can you please recommend some journals that qualify & you have had good experience publishing research?

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I recommend you focus on quality over quantity. Publishing a paper will boost your reputation and make you more recognised within your academic field (AI), however this is only if the paper provides useful insights into an important issue.

Your paper is more likely to be accepted if it is well written and easy to understand, stimulates new important questions, uses rigorous methods to explain why the data supports the conclusion and connections to prior work is made and serve to make your paper's arguments clear. (Elizabeth Z Elsevier blog)

Before submitting your paper, ask a mentor or a colleague to proof read it so that you can make the relevant revisions and changes. Journal editors will look down on your work if it is poorly written or contains substandard grammar.

A way to get published is by writing reviews, especially for researchers in earlier stages of their career. Most journal editors like to publish replies to previous publications since it stimulates debate.

Remember it is acceptable to challenge reviewers suggestions with good justification. Many researchers fail to perservere when they are instructed to revise and resubmit their work. Don't give up, however you can politely decline or even argue why a reviewer is wrong. Editors will accept a rational explaination if it is clear that you have considered all their feedback.

Getting published is never easy, especially in high ranking journals. If you focus on getting published quickly it could derail you from concentrating on the quality of your research. Yes, getting published can be expensive, however its much better for your career if you write a high quality paper than a low quality paper in a lowly ranked or ungraded journal since it will not be REFable.

Below is a list of Artificial Intelligence Journals that you can submit your papers to and possibly get published.

Artificial Intelligence (Journal) https://www.journals.elsevier.com/artificial-intelligence

Artificial Intelligence Review https://link.springer.com/journal/10462

Applied Artificial Intelligence http://www.tandfonline.com/action/journalInformation?journalCode=uaai20&

Autonomous Agents and Multi-Agent Systems https://www.springer.com/computer/ai/journal/10458

International Journal on Artificial Intelligence Tools http://www.worldscientific.com/worldscinet/ijait

International Journal of Pattern Recognition and Artificial Intelligence http://www.worldscientific.com/worldscinet/ijprai

Journal of Experimental and Theoretical Artificial Intelligence http://www.tandfonline.com/action/journalInformation?journalCode=teta20

Journal of Machine Learning Research http://www.jmlr.org/

IEEE Intelligent Systems http://publications.computer.org/intelligent-systems/

Journal of Automated Reasoning https://www.springer.com/computer/theoretical+computer+science/journal/10817

Minds and Machines https://www.springer.com/computer/ai/journal/11023

Autonomous Agents and Multi-Agent Systems https://www.springer.com/computer/ai/journal/10458

Applied Intelligence https://link.springer.com/journal/10489

Journal of Intelligent Manufacturing https://link.springer.com/journal/10845

Journal of Intelligent Information Systems https://link.springer.com/journal/10844

AI & Society https://link.springer.com/journal/146

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One important consideration here: in the last decade or two the machine learning and artificial intelligence fields, which contains the majority of reinforcement learning work as subfields, consider conferences to be the more impactful publishing venues. The particular venue a researcher chooses depends on the data and/or application domain of your use of reinforcement learning, and the conferences are often changing, but to get you started the top tier conferences are (in rough order of exclusivity and importance):

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