Project.toml

name = "ParallelTreeSampling"
uuid = "1dbaf46d-98b3-4954-9067-e2e1fd55dbb5"
authors = ["Kyu-Young Kim <kykim@cs.stanford.edu> and contributors"]
version = "0.1.0"

[deps]
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
Crux = "e51cc422-768a-4345-bb8e-2246287ae729"
D3Trees = "e3df1716-f71e-5df9-9e2d-98e193103c45"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ImportanceWeightedRiskMetrics = "0d2f0bec-1620-4cca-89d1-e694ad7e7b82"
POMDPGym = "23110f14-cb49-4285-84b1-33ab57423405"
POMDPModelTools = "08074719-1b2a-587c-a292-00f91cc44415"
POMDPModels = "355abbd5-f08e-5560-ac9e-8b5f2592a0ca"
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"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"

[compat]
Colors = "0.12"
D3Trees = "0.3"
Distributions = "0.25"
POMDPModelTools = "0.3"
POMDPPolicies = "0.4"
POMDPs = "0.9"
ProgressMeter = "1"
StatsBase = "0.33"
julia = "1.7.1"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]