diff --git a/.travis.yml b/.travis.yml
index df512a3..a7afcba 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -28,9 +28,9 @@ matrix:
 
 ## uncomment the following lines to override the default test script
 #script:
-#  - julia -e 'Pkg.clone(pwd()); Pkg.build("RLEnvGym"); Pkg.test("RLEnvGym"; coverage=true)'
+#  - julia -e 'Pkg.clone(pwd()); Pkg.build("ReinforcementLearningEnvironmentGym"); Pkg.test("ReinforcementLearningEnvironmentGym"; coverage=true)'
 after_success:
   # push coverage results to Coveralls
-  - julia -e 'cd(Pkg.dir("RLEnvGym")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(Coveralls.process_folder())'
+  - julia -e 'cd(Pkg.dir("ReinforcementLearningEnvironmentGym")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(Coveralls.process_folder())'
   # push coverage results to Codecov
-  - julia -e 'cd(Pkg.dir("RLEnvGym")); Pkg.add("Coverage"); using Coverage; Codecov.submit(Codecov.process_folder())'
+  - julia -e 'cd(Pkg.dir("ReinforcementLearningEnvironmentGym")); Pkg.add("Coverage"); using Coverage; Codecov.submit(Codecov.process_folder())'
diff --git a/LICENSE.md b/LICENSE.md
index 2494f7f..51c6990 100644
--- a/LICENSE.md
+++ b/LICENSE.md
@@ -1,4 +1,4 @@
-The RLEnvGym.jl package is licensed under the MIT "Expat" License:
+The ReinforcementLearningEnvironmentGym.jl package is licensed under the MIT "Expat" License:
 
 > Copyright (c) 2018: Johanni Brea.
 >
diff --git a/README.md b/README.md
index e826886..6cb41f1 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,9 @@
-# RLEnvGym
+# ReinforcementLearningEnvironmentGym
 
-[![Build Status](https://travis-ci.com/JuliaReinforcementLearning/RLEnvGym.jl.svg?branch=master)](https://travis-ci.com/JuliaReinforcementLearning/RLEnvGym.jl)
+[![Build Status](https://travis-ci.com/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl.svg?branch=master)](https://travis-ci.com/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl)
 
-[![Coverage Status](https://coveralls.io/repos/JuliaReinforcementLearning/RLEnvGym.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/JuliaReinforcementLearning/RLEnvGym.jl?branch=master)
+[![Coverage Status](https://coveralls.io/repos/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl?branch=master)
 
-[![codecov.io](http://codecov.io/github/JuliaReinforcementLearning/RLEnvGym.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaReinforcementLearning/RLEnvGym.jl?branch=master)
+[![codecov.io](http://codecov.io/github/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl/coverage.svg?branch=master)](http://codecov.io/github/JuliaReinforcementLearning/ReinforcementLearningEnvironmentGym.jl?branch=master)
 
 Making the [OpenAI gym](https://github.com/openai/gym) environments available to the [Julia Reinforcement Learning](https://github.com/jbrea/ReinforcementLearning.jl) package.
diff --git a/appveyor.yml b/appveyor.yml
index cfe8f87..9793108 100644
--- a/appveyor.yml
+++ b/appveyor.yml
@@ -41,7 +41,7 @@ build_script:
 # Need to convert from shallow to complete for Pkg.clone to work
   - IF EXIST .git\shallow (git fetch --unshallow)
   - C:\projects\julia\bin\julia -e "versioninfo();
-      Pkg.clone(pwd(), \"RLEnvGym\"); Pkg.build(\"RLEnvGym\")"
+      Pkg.clone(pwd(), \"ReinforcementLearningEnvironmentGym\"); Pkg.build(\"ReinforcementLearningEnvironmentGym\")"
 
 test_script:
-  - C:\projects\julia\bin\julia -e "Pkg.test(\"RLEnvGym\")"
+  - C:\projects\julia\bin\julia -e "Pkg.test(\"ReinforcementLearningEnvironmentGym\")"
diff --git a/examples/cartpole.jl b/examples/cartpole.jl
index 3f3bda8..f9bfa70 100644
--- a/examples/cartpole.jl
+++ b/examples/cartpole.jl
@@ -1,5 +1,5 @@
-# Using PyCall is rather slow. Please compare to https://github.com/JuliaReinforcementLearning/RLEnvClassicControl.jl/blob/master/examples/cartpole.jl
-using RLEnvGym
+# Using PyCall is rather slow. Please compare to https://github.com/JuliaReinforcementLearning/ReinforcementLearningEnvironmentClassicControl.jl/blob/master/examples/cartpole.jl
+using ReinforcementLearningEnvironmentGym
 
 env = GymEnv("CartPole-v0")
 rlsetup = RLSetup(ActorCriticPolicyGradient(ns = 4, na = 2, α = .02, 
diff --git a/examples/cartpoleDQN.jl b/examples/cartpoleDQN.jl
index cbc1be1..8e00928 100644
--- a/examples/cartpoleDQN.jl
+++ b/examples/cartpoleDQN.jl
@@ -1,4 +1,4 @@
-using RLEnvGym, Flux
+using ReinforcementLearningEnvironmentGym, Flux
 # List all envs
 
 listallenvs()
diff --git a/src/RLEnvGym.jl b/src/ReinforcementLearningEnvironmentGym.jl
similarity index 97%
rename from src/RLEnvGym.jl
rename to src/ReinforcementLearningEnvironmentGym.jl
index af64ac2..2d521dc 100644
--- a/src/RLEnvGym.jl
+++ b/src/ReinforcementLearningEnvironmentGym.jl
@@ -1,4 +1,4 @@
-module RLEnvGym
+module ReinforcementLearningEnvironmentGym
 using Reexport
 @reexport using ReinforcementLearning
 import ReinforcementLearning:interact!, reset!, getstate, plotenv
diff --git a/test/runtests.jl b/test/runtests.jl
index a3d4d6f..8e3f4ac 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -1,11 +1,11 @@
-using RLEnvGym
+using ReinforcementLearningEnvironmentGym
 @static if VERSION < v"0.7.0-DEV.2005"
     using Base.Test
 else
     using Test
 end
 
-import RLEnvGym: reset!, interact!, getstate
+import ReinforcementLearningEnvironmentGym: reset!, interact!, getstate
 for x in ["CartPole-v0"]
     env = GymEnv(x)
     reset!(env)