Vejde: A Framework for Inductive Deep Reinforcement Learning
I recently made the code for our recently published project, Vejde, public. It was originally built to handle variably sized inputs in automated network intrusion response, but we made and did an evaluation of a generic version in order to allow it to be used for other problem domains as well. Since I sometimes see people struggling with problems that this might be useful for in this subreddit, I thought it might be prudent to also inform about it here.
Basically, if your RL problem has:
- High level information about entities and their relations,
- or SQL databases,
- or variably-sized observations,
- or state-dependent numbers of possible actions.
…then this might be something for you to check out. The main library is written to make it easy to adapt to specific environments, but there are also example instantiations to look at.
If you have questions related to the library, I can try answering them in the comments.
submitted by /u/kth_jakob
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