diff --git a/src/ReinforcementLearningCore/src/policies/random_policy.jl b/src/ReinforcementLearningCore/src/policies/random_policy.jl
index b09cd69d8..3719d478c 100644
--- a/src/ReinforcementLearningCore/src/policies/random_policy.jl
+++ b/src/ReinforcementLearningCore/src/policies/random_policy.jl
@@ -24,7 +24,7 @@ RandomPolicy(s = nothing; rng = Random.default_rng()) = RandomPolicy(s, rng)
 
 RLBase.optimise!(::RandomPolicy, x::NamedTuple) = nothing
 
-RLBase.plan!(p::RandomPolicy{S,RNG}, env::AbstractEnv) where {S,RNG<:AbstractRNG} = rand.(p.rng, p.action_space)
+RLBase.plan!(p::RandomPolicy{S,RNG}, env::AbstractEnv) where {S,RNG<:AbstractRNG} = rand(p.rng, p.action_space)
 
 function RLBase.plan!(p::RandomPolicy{Nothing,RNG}, env::AbstractEnv) where {RNG<:AbstractRNG}
     legal_action_space_ = RLBase.legal_action_space(env)
@@ -33,7 +33,7 @@ end
 
 function RLBase.plan!(p::RandomPolicy{Nothing,RNG}, env::E, player::Symbol) where {E<:AbstractEnv, RNG<:AbstractRNG}
     legal_action_space_ = RLBase.legal_action_space(env, player)
-    return rand.(p.rng, legal_action_space_)
+    return rand(p.rng, legal_action_space_)
 end
 
 #####
diff --git a/src/ReinforcementLearningCore/test/core/base.jl b/src/ReinforcementLearningCore/test/core/base.jl
index 300f3fcd7..f46e40b69 100644
--- a/src/ReinforcementLearningCore/test/core/base.jl
+++ b/src/ReinforcementLearningCore/test/core/base.jl
@@ -1,4 +1,4 @@
-using ReinforcementLearningCore
+#using ReinforcementLearningCore
 using ReinforcementLearningBase
 using TimerOutputs
 
diff --git a/src/ReinforcementLearningCore/test/core/stop_conditions.jl b/src/ReinforcementLearningCore/test/core/stop_conditions.jl
index f492527c8..0411e4459 100644
--- a/src/ReinforcementLearningCore/test/core/stop_conditions.jl
+++ b/src/ReinforcementLearningCore/test/core/stop_conditions.jl
@@ -1,4 +1,4 @@
-using ReinforcementLearningCore: check_stop
+import ReinforcementLearningCore.check_stop
 
 @testset "StopAfterStep" begin
     stop_condition = StopAfterStep(10)
diff --git a/src/ReinforcementLearningCore/test/policies/agent.jl b/src/ReinforcementLearningCore/test/policies/agent.jl
index 81297ce77..1f412c8e6 100644
--- a/src/ReinforcementLearningCore/test/policies/agent.jl
+++ b/src/ReinforcementLearningCore/test/policies/agent.jl
@@ -1,6 +1,5 @@
 using ReinforcementLearningBase, ReinforcementLearningEnvironments
-using ReinforcementLearningCore: SRT
-using ReinforcementLearningCore
+import ReinforcementLearningCore.SRT
 
 @testset "agent.jl" begin
     @testset "Agent Tests" begin
diff --git a/src/ReinforcementLearningCore/test/policies/multi_agent.jl b/src/ReinforcementLearningCore/test/policies/multi_agent.jl
index fc1229497..496ec98bb 100644
--- a/src/ReinforcementLearningCore/test/policies/multi_agent.jl
+++ b/src/ReinforcementLearningCore/test/policies/multi_agent.jl
@@ -1,7 +1,6 @@
 using Test
 using ReinforcementLearningEnvironments
 using ReinforcementLearningTrajectories
-using ReinforcementLearningCore
 using ReinforcementLearningBase
 using DomainSets
 
diff --git a/src/ReinforcementLearningCore/test/runtests.jl b/src/ReinforcementLearningCore/test/runtests.jl
index d11899e4d..41768f81d 100644
--- a/src/ReinforcementLearningCore/test/runtests.jl
+++ b/src/ReinforcementLearningCore/test/runtests.jl
@@ -1,5 +1,5 @@
 using ReinforcementLearningBase
-using ReinforcementLearningCore
+#using ReinforcementLearningCore
 using ReinforcementLearningEnvironments
 using ReinforcementLearningTrajectories
 
diff --git a/src/ReinforcementLearningCore/test/utils/distributions.jl b/src/ReinforcementLearningCore/test/utils/distributions.jl
index e40d31b99..8dd3bde85 100644
--- a/src/ReinforcementLearningCore/test/utils/distributions.jl
+++ b/src/ReinforcementLearningCore/test/utils/distributions.jl
@@ -1,4 +1,4 @@
-using Test, LinearAlgebra, Distributions, ReinforcementLearningCore, CUDA, Flux
+using Test, LinearAlgebra, Distributions, CUDA, Flux
 
 @testset "utils/distributions" begin
     @testset "logdetLorU" begin
diff --git a/src/ReinforcementLearningCore/test/utils/networks.jl b/src/ReinforcementLearningCore/test/utils/networks.jl
index 59ff7e93a..06900109a 100644
--- a/src/ReinforcementLearningCore/test/utils/networks.jl
+++ b/src/ReinforcementLearningCore/test/utils/networks.jl
@@ -1,4 +1,4 @@
-using Test, Flux, CUDA, ChainRulesCore, LinearAlgebra, Distributions, ReinforcementLearningCore
+using Test, Flux, CUDA, ChainRulesCore, LinearAlgebra, Distributions
 using Flux: params, gradient, unsqueeze
 @testset "Approximators" begin
     #= These may need to be updated due to recent changes
diff --git a/src/ReinforcementLearningExperiments/deps/experiments/experiments/Policy Gradient/JuliaRL_SAC_Pendulum.jl b/src/ReinforcementLearningExperiments/deps/experiments/experiments/Policy Gradient/JuliaRL_SAC_Pendulum.jl
index a7b2c31e5..2b3e0524b 100644
--- a/src/ReinforcementLearningExperiments/deps/experiments/experiments/Policy Gradient/JuliaRL_SAC_Pendulum.jl	
+++ b/src/ReinforcementLearningExperiments/deps/experiments/experiments/Policy Gradient/JuliaRL_SAC_Pendulum.jl	
@@ -67,7 +67,7 @@ function RLCore.Experiment(
             γ=0.99f0,
             α=0.2f0,
             start_steps=1000,
-            start_policy=RandomPolicy([-1.0 .. 1.0 for _ in 1:na]; rng=rng),
+            start_policy=RandomPolicy(-1.0 .. 1.0; rng=rng),
             automatic_entropy_tuning=true,
             lr_alpha=0.003f0,
             action_dims=action_dims,