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Project.toml
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Project.toml
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name = "DeepCorrectionsExperiments"
uuid = "8f5237d0-3ae6-11e9-1c09-5bd42d403174"
repo = "https://github.com/MaximeBouton/DeepCorrectionsExperiments.jl"
[deps]
ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
AutoUrban = "1385418a-9289-5a49-ab93-843b508de4cb"
AutoViz = "82aa6e0c-a491-5edf-8d4b-c16b98e4ea17"
AutomotiveDrivingModels = "99497e54-f3d6-53d3-a3a9-fa9315a7f1ba"
AutomotivePOMDPs = "dca8afc0-c686-11e8-0934-712707da73aa"
AutomotiveSensors = "9ec66b5e-c605-11e8-1454-ede748df6f96"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
BeliefUpdaters = "8bb6e9a1-7d73-552c-a44a-e5dc5634aac4"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DeepCorrections = "658c41d1-afff-526d-a519-26c1370c8411"
DeepQLearning = "de0a67f4-c691-11e8-0034-5fc6e16e22d3"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
PGFPlots = "3b7a836e-365b-5785-a47d-02c71176b4aa"
POMDPPolicies = "182e52fb-cfd0-5e46-8c26-fd0667c990f4"
POMDPSimulators = "e0d0a172-29c6-5d4e-96d0-f262df5d01fd"
POMDPs = "a93abf59-7444-517b-a68a-c42f96afdd7d"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
RLInterface = "3065fe53-3878-5aed-aae7-ab641be43734"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Records = "5984c134-fa48-5ed5-a57f-fc2f6936871f"
StatPlots = "60ddc479-9b66-56df-82fc-76a74619b69c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Vec = "44eeaf0b-fee4-471f-9310-ed6585cb3142"