Package Stabilization Plan

[jeremiahpslewis]

Hey!

Right now it seems like the package is caught in the middle of a really important (but overwhelming refactor). Would the following approach be worth consideration?

• [x] 1. Add compat constraints to ReinforcementLearning.jl, tag a new 0.10.2 release
• [ ] 2. Tag new releases of ReinforcementLearningBase & ReinforcementLearningCore
  • [x] ReinforcementLearningBase.jl
  • [x] ReinforcementLearningCore.jl
  • [x] ReinforcementLearningEnvironments.jl
  • [x] ReinforcementLearningZoo.jl
  • [x] ReinforcementLearningExperiments.jl
• [ ] 3. Get tabular algorithms from ReinforcementLearningZoo working, release new version
• [ ] 4. Start chipping away at ReinforcementLearningExperiments, tag releases as experiments are ported
• [ ] 5. Once all code either updated or dropped, tag new release to ReinforcementLearning.jl

[HenriDeh]

Perhaps we could also make a v0.11 branch with the refactoring commits and keep a working master branch. And only merge the branch when v0.11 is ready.

[filchristou]

in the middle of a really important (but overwhelming refactor)

is there something somewhere to read about it ?

[jeremiahpslewis]

This isn't up to date, but it's got the most information https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl/issues/614