Drop devmode, prepare RL.jl v0.11 for release (#1035)

* Drop devmode, prepare RL.jl v0.11 for release

* Add RLFarm to project, drop RLZoo from umbrella package

* Update LICENSE

---------

Co-authored-by: Jeremiah Lewis <--get>

Project.toml

@@ -1,15 +1,14 @@
 name = "ReinforcementLearning"
 uuid = "158674fc-8238-5cab-b5ba-03dfc80d1318"
 authors = ["Johanni Brea <[email protected]>", "Jun Tian <[email protected]>"]
-version = "0.11.0-dev"
+version = "0.11.0"
 
 [deps]
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 ReinforcementLearningBase = "e575027e-6cd6-5018-9292-cdc6200d2b44"
 ReinforcementLearningCore = "de1b191a-4ae0-4afa-a27b-92d07f46b2d6"
 ReinforcementLearningEnvironments = "25e41dd2-4622-11e9-1641-f1adca772921"
-ReinforcementLearningZoo = "d607f57d-ee1e-4ba7-bcf2-7734c1e31854"
 
 [compat]
 Reexport = "0.2, 1"

src/ReinforcementLearning.jl

@@ -5,11 +5,8 @@ const RL = ReinforcementLearning
 
 using Reexport
 
-include("devmode.jl")
-
 @reexport using ReinforcementLearningBase
 @reexport using ReinforcementLearningCore
 @reexport using ReinforcementLearningEnvironments
-@reexport using ReinforcementLearningZoo
 
 end

src/ReinforcementLearningFarm/LICENSE

@@ -0,0 +1,19 @@
+Copyright (c) 2024 Jeremiah Lewis <[email protected]> and Henri Dehaybe
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

src/ReinforcementLearningFarm/Project.toml

@@ -0,0 +1,19 @@
+name = "ReinforcementLearningFarm"
+uuid = "14eff660-7080-4cec-bba2-cfb12cd77ac3"
+version = "0.1.0"
+
+[deps]
+Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
+ReinforcementLearningBase = "e575027e-6cd6-5018-9292-cdc6200d2b44"
+ReinforcementLearningCore = "de1b191a-4ae0-4afa-a27b-92d07f46b2d6"
+
+[compat]
+ReinforcementLearningBase = "0.12"
+ReinforcementLearningCore = "0.14"
+julia = "1.9"
+
+[extras]
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = []

src/ReinforcementLearningFarm/README.md

@@ -0,0 +1,5 @@
+# ReinforcementLearningFarm.jl
+
+This project contains updated, tested algorithms compatible with ReinforcementLearning.jl v0.11+.
+
+Unlike ReinforcementLearningZoo, the algorithms here have been domesticated.

src/ReinforcementLearningFarm/src/ReinforcementLearningZoo.jl

@@ -0,0 +1,8 @@
+module ReinforcementLearningFarm
+
+using ReinforcementLearningBase
+using ReinforcementLearningCore
+const RLFarm = ReinforcementLearningFarm
+export RLFarm
+
+end # module

src/ReinforcementLearningFarm/test/runtests.jl

@@ -0,0 +1,17 @@
+using UUIDs
+using Preferences
+
+if Sys.isapple()
+    flux_uuid = UUID("587475ba-b771-5e3f-ad9e-33799f191a9c")
+    set_preferences!(flux_uuid, "gpu_backend" => "Metal")
+
+    using Metal
+else
+    using CUDA, cuDNN
+    CUDA.allowscalar(false)
+end
+
+using Test
+@testset "ReinforcementLearningZoo.jl" begin
+
+end

src/ReinforcementLearningZoo/src/ReinforcementLearningZoo.jl

@@ -7,6 +7,8 @@ const RLZoo = ReinforcementLearningZoo
 export RLZoo
 import MLUtils
 
+@warn "ReinforcementLearningZoo is deprecated! Components compatible with ReinforcementLearning v0.11+ are available in ReinforcementLearningFarm."
+
 include("algorithms/algorithms.jl")
 # include("hooks/hooks.jl") # TotalBatchRewardPerEpisode is broken, need to ensure vector copy works!