update version

Author: hmyuuu

Project.toml

@@ -1,7 +1,7 @@
 name = "QuanEstimation"
 uuid = "088c8dff-a786-4a66-974c-03d3f6773f87"
 authors = ["Jing Liu <[email protected]>", "Huaiming Yu <[email protected]>", "Mao Zhang <[email protected]>"]
-version = "0.1.5"
+version = "0.1.6"
 
 [deps]
 BoundaryValueDiffEq = "764a87c0-6b3e-53db-9096-fe964310641d"
@@ -17,8 +17,6 @@ OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 QuadGK = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
-ReinforcementLearning = "158674fc-8238-5cab-b5ba-03dfc80d1318"
-ReinforcementLearningCore = "de1b191a-4ae0-4afa-a27b-92d07f46b2d6"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 SCS = "c946c3f1-0d1f-5ce8-9dea-7daa1f7e2d13"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
@@ -42,18 +40,15 @@ Flux = "0.12, 0.13, 0.14"
 Interpolations = "0.13, 0.14, 0.15"
 IntervalSets = "0.5, 0.7"
 JLD2 = "0.4"
-julia = "1.9"
 OrdinaryDiffEq = "6"
 QuadGK = "2"
-ReinforcementLearning = "0.10"
-ReinforcementLearningCore = "0.8.13"
 Revise = "3"
 SCS = "1, 2"
 StableRNGs = "1"
 StatsBase = "0.33, 0.34"
 Trapz = "2"
 Zygote = "0.6"
-
+julia = "1.10"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

src/Algorithm/Algorithm.jl

@@ -207,7 +207,7 @@ alg_type(::NM) = :NM
 alg_type(::RI) = :RI
 
 include("AD.jl")
-include("DDPG.jl")
+# include("DDPG.jl")
 include("DE.jl")
 include("GRAPE.jl")
 include("NM.jl")

src/QuanEstimation.jl

@@ -14,7 +14,6 @@ using SparseArrays
 using DelimitedFiles
 using StatsBase
 using Flux
-using ReinforcementLearning
 using SCS
 using BoundaryValueDiffEq
 using Trapz

test/runtests.jl

@@ -61,9 +61,9 @@ end
         include("algorithms/test_PSO.jl")
     end
 
-    @testset "DDPG" begin
-        include("algorithms/test_DDPG.jl")
-    end
+    # @testset "DDPG" begin
+    #     include("algorithms/test_DDPG.jl")
+    # end
 end
 
 @testset "Utils" begin