[D] Have there been successful applications of Deep RL to real problems other than board games/Atari?

Some successful applications I am able to gather, mostly from Deepmind:

\- [Alphafold: Protein structure prediction from amino-acid sequence](https://alphafold.ebi.ac.uk/)

\- [Weather nowcasting](https://www.deepmind.com/blog/nowcasting-the-next-hour-of-rain)

\- [Tokamak fision reactor feeedback control](https://www.deepmind.com/blog/accelerating-fusion-science-through-learned-plasma-control)

There is a lot of work in games, particularly board games, but these do not really solve something "useful" for society. I have seen also lots of toy examples with libraries like [gym](https://gym.openai.com/) and some robotics but in general these are rather proof-of-concept models or just models that do not work at …

applications board games deep rl games machinelearning rl