Frequently Asked Questions

I get an error when trying examples in the doc

This documentation is generated with the following environment setup. If you get any unexpected exception or find any inconsistency between the result on your machine and the documentation. Please file an issue with the following message to help us improve the doc.

julia> using Pkg, Dates
julia> today()2024-12-18
julia> versioninfo()Julia Version 1.11.2
Commit 5e9a32e7af2 (2024-12-01 20:02 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)
julia> buff = IOBuffer();Pkg.status(io=buff);println(String(take!(buff)))Status `~/work/ReinforcementLearning.jl/ReinforcementLearning.jl/docs/Project.toml`
  [b7f77d8d] ArcadeLearningEnvironment v0.2.4
  [052768ef] CUDA v5.5.2
  [311a05b2] DemoCards v0.5.5
  [31c24e10] Distributions v0.25.115
  [e30172f5] Documenter v1.8.0
⌃ [587475ba] Flux v0.14.25
  [02fcd773] ImageTransformations v0.10.1
  [8197267c] IntervalSets v0.7.10
  [033835bb] JLD2 v0.5.10
  [98b081ad] Literate v2.20.1
  [ceb70bd2] OpenSpiel v0.2.4
  [91a5bcdd] Plots v1.40.9
  [d330b81b] PyPlot v2.11.5
  [158674fc] ReinforcementLearning v0.11.0 `..`
  [e575027e] ReinforcementLearningBase v0.13.1 `../src/ReinforcementLearningBase`
  [de1b191a] ReinforcementLearningCore v0.15.4 `../src/ReinforcementLearningCore`
  [25e41dd2] ReinforcementLearningEnvironments v0.9.1 `../src/ReinforcementLearningEnvironments`
  [14eff660] ReinforcementLearningFarm v0.0.3 `../src/ReinforcementLearningFarm`
  [efcf1570] Setfield v1.1.1
  [860ef19b] StableRNGs v1.0.2
  [10745b16] Statistics v1.11.1
  [899adc3e] TensorBoardLogger v0.1.25
  [ade2ca70] Dates v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [44cfe95a] Pkg v1.11.0
  [9a3f8284] Random v1.11.0
Info Packages marked with ⌃ have new versions available and may be upgradable.

Downgrade happens when using this package

This may happen occasionally. The reason is complex, either because we haven't updated the compat section yet, or some other packages you are using relies on an old dependency. Pleas create an issue to describe how it happens and we can work on it together to resolve it.