One of the most common misconceptions about reinforcement learning (RL) applications is that, once you deploy them, they continue to learn. And, usually, I'm left having to explain this. As part of my explanations, I like to show where it is being used and where not.

I've done a little bit of research on the topic, but the descriptions seem fairly academic, and I'm left with the opinion that reinforcement learning is not really suitable for financial services in regulated markets.

Am I wrong? If so, I would like to know where RL is being used? Also, if it is, how are the RL algorithms governed?

  • $\begingroup$ Have a look at Wealth Wizards; I believe they are using ML for financial advice. wealthwizards.com -- Disclaimer: I know a few people who work/used to work there, but have nothing to do with the company myself. $\endgroup$ – Oliver Mason Feb 14 '19 at 8:49
  • $\begingroup$ Is your question only about applications of RL algorithms to the financial services? Or do you want to know if there are applications of ML algorithms to this area, in general? ML and RL are not the same thing. $\endgroup$ – nbro Feb 14 '19 at 11:23
  • $\begingroup$ @nbro I'm only interested in places where RL algorithms have been used. ML in general is pretty clear but most people I explain this to think ML is RL $\endgroup$ – user1605665 Feb 14 '19 at 21:58
  • $\begingroup$ @What do you mean by "how are RL algorithms governed"? What do you mean by "governed" in this case? $\endgroup$ – nbro Feb 14 '19 at 22:31
  • $\begingroup$ @nbro if they are changing on their own over time. How do you ensure they are not picking up on datapoints or otherwise making descisions that are considered to be unnacceptable $\endgroup$ – user1605665 Feb 15 '19 at 2:41

I know the new bot in JP Morgan uses reinforcement learning:


There a lot of studies of Reinforcement learning can apply in crypto currency trading. Here is one of many examples:


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