# Reinforcement learning and e.g. deep kernel learning, and status of Julia for such AI

**URL:** <https://discourse.julialang.org/t/reinforcement-learning-and-e-g-deep-kernel-learning-and-status-of-julia-for-such-ai/63343>\
**Category:** Offtopic\
**Tags:** machine-learning\
**Created:** [June 22, 2021, 12:49am UTC](https://discourse.julialang.org/t/reinforcement-learning-and-e-g-deep-kernel-learning-and-status-of-julia-for-such-ai/63343 "2021-06-22T00:49:59Z")\
**Posts on this page:** 1\
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**Author:** ![filchristou](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/filchristou/32/26760_2.png) [@filchristou](https://discourse.julialang.org/u/filchristou)\
**Post date:** [March 5, 2022, 9:44am UTC](https://discourse.julialang.org/t/reinforcement-learning-and-e-g-deep-kernel-learning-and-status-of-julia-for-such-ai/63343/4 "2022-03-05T09:44:35Z")

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Hi nice overview.  
Certainly another Julia possiblity to consider would be all the [JuliaPOMDP](https://github.com/JuliaPOMDP) packages.  
The way I see it (and please correct me if I am wrong) this POMDPs packages together with the [ReinforcementLearning](https://juliareinforcementlearning.org/) packages are the ones gaining the most traction. (?)  
Of course I don’t want to undermine other packages which could be equally interesting for someone to investigate.

While I am only just starting to investigate these packages I find it quite confusing to differentiate them. Does someone care to mention the main differences between the `POMDPs` and `ReinforcementLearning` packages ? As also the way they overlap ?  
Must someone choose one over these packages or the suggested workflow is to consider both together, (since they are both compatible with [CommonRLInterface](https://github.com/JuliaReinforcementLearning/CommonRLInterface.jl) ). If yes, how would someone combine them ?

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