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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>
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‎Project.dev.toml‎

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‎Project.toml‎

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

‎src/ReinforcementLearning.jl‎

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using Reexport
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include("devmode.jl")
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@reexport using ReinforcementLearningBase
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@reexport using ReinforcementLearningCore
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@reexport using ReinforcementLearningEnvironments
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@reexport using ReinforcementLearningZoo
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end

‎src/ReinforcementLearningFarm/LICENSE‎

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

‎src/ReinforcementLearningFarm/Project.toml‎

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

‎src/ReinforcementLearningFarm/README.md‎

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

‎src/ReinforcementLearningFarm/src/ReinforcementLearningZoo.jl‎

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module ReinforcementLearningFarm
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using ReinforcementLearningBase
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using ReinforcementLearningCore
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const RLFarm = ReinforcementLearningFarm
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export RLFarm
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end # module

‎src/ReinforcementLearningFarm/test/runtests.jl‎

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

‎src/ReinforcementLearningZoo/src/ReinforcementLearningZoo.jl‎

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

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