Added GFX license conditions. Included LICENSE file in build. Fixed a few character issues in README.md

LICENSE

@@ -0,0 +1,28 @@
+MIT License License
+
+MIT License Conditions
+
+These MIT License conditions confirm the provision of the following artefacts as MIT License by Defence Science and Technology
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+
+

README.md

@@ -1,6 +1,6 @@
 # PrimAITE
 
-The ARCD Primary-level AI Training Environment (PrimAITE) provides an effective simulation capability for the purposes of training and evaluating AI in a cyber-defensive role. It incorporates the functionality required of a primary-level ARCD environment, which includes: 
+The ARCD Primary-level AI Training Environment (**PrimAITE**) provides an effective simulation capability for the purposes of training and evaluating AI in a cyber-defensive role. It incorporates the functionality required of a primary-level ARCD environment, which includes:
 
 - The ability to model a relevant platform / system context;
 
@@ -24,15 +24,15 @@ PrimAITE presents the following features:
 
 - Presents an OpenAI gym or RLLib interface to the environment, allowing integration with any OpenAI gym compliant defensive agents;
 
-- Full capture of discrete logs relating to agent training (full system state, agent actions taken, instantaneous and average reward for every step of every episode)​; 
+- Full capture of discrete logs relating to agent training (full system state, agent actions taken, instantaneous and average reward for every step of every episode);
 
-- NetworkX provides laydown visualisation capability.  
+- NetworkX provides laydown visualisation capability.
 
 ## Getting Started with PrimAITE
 
 ### 💫 Install & Run
 **PrimAITE** is designed to be OS-agnostic, and thus should work on most variations/distros of Linux, Windows, and MacOS.
-Currently, the PRimAITE wheel can only be installed from GitHub. This may change in the future with release to PyPi.
+Currently, the PrimAITE wheel can only be installed from GitHub. This may change in the future with release to PyPi.
 
 #### Windows (PowerShell)
 

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 name = "primaite"
 description = "PrimAITE (Primary-level AI Training Environment) is a simulation environment for training AI under the ARCD programme."
 authors = [{name="Defence Science and Technology Laboratory UK", email="oss@dstl.gov.uk"}]
-license = {text = "MIT License"}
+license = {file = "LICENSE"}
 requires-python = ">=3.8, <3.11"
 dynamic = ["version", "readme"]
 classifiers = [
@@ -47,6 +47,7 @@ readme = {file = ["README.md"]}
 [tool.setuptools]
 package-dir = {"" = "src"}
 include-package-data = true
+license-files = ["LICENSE"]
 
 
 [project.optional-dependencies]