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Switch to RLCore (#11)
* update environments to use RLCore * update dependency
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Manifest.toml

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Project.toml

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name = "RLIntro"
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name = "ReinforcementLearningAnIntroduction"
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uuid = "02c1da58-b9a1-11e8-0212-f9611b8fe936"
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authors = ["TianJun <tianjun.cpp@gmail.com>"]
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version = "0.2.0"
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[deps]
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
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Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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MacroTools = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
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Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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ReinforcementLearning = "158674fc-8238-5cab-b5ba-03dfc80d1318"
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ReinforcementLearningEnvironments = "25e41dd2-4622-11e9-1641-f1adca772921"
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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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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
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[compat]
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julia = "1.3"
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DataStructures = "0.17"
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Distributions = "0.22"
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Flux = "0.10"
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MacroTools = "0.5"
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Plots = "0.29"
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Reexport = "0.2"
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ReinforcementLearningBase = "0.6"
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ReinforcementLearningCore = "0.2"
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StatsBase = "0.32"
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StatsPlots = "0.12"

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