Project.toml

name = "Metareasoning"
uuid = "1e9f7732-dbfb-4737-9f6f-bb5b7251deba"
authors = ["Abhinav Bhatia <abhinav.bhatia.me@gmail.com>", "Samer Nashed <samernashed@gmail.com>", "Justin Svegliato <justin.svegliato@gmail.com>"]
version = "1.1.1"

[deps]
AnytimeWeightedAStar = "ec8c4e8f-3dff-4cc6-be8a-faba0f6c4cb5"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
RRTStar = "edc06559-a2f1-48bc-93ee-82d4c03e0417"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ReinforcementLearning = "158674fc-8238-5cab-b5ba-03dfc80d1318"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
WandbMacros = "e69cbec5-4d86-4e4e-9018-58a9d8b3f761"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"