Update README.md

README.md

@@ -6,15 +6,13 @@ This is a Python library for interactively running models exported from the RL e
 
 Currently, this library released as a **public beta** (so please excuse any rough edges). If you have problems or bugs, please file them in the `Issues` tab. For general talk or questions, there's the `Discussions` tab.
 
-**UPDATE (Oct 2023):** An overhaul to the backend is currently an active WIP. Estimated release is EOY (likely sooner though).
-
 Full documentation (with background information, getting started guide, and class docs) can be found @ https://t-wolfeadam.github.io/Alpyne
 
 All contributions, including new or improved example models and training scripts, are thoroughly welcomed!
 
 Installation
 ------------
-Alpyne supports Python 3.10+ and requirements the latest version of AnyLogic.
+Alpyne supports Python 3.10+ and requirements the latest version of AnyLogic (as of Mar 2024: v8.8.6).
 
 To install this library with its base minimum components, use ``pip install anylogic-alpyne``
 
@@ -47,4 +45,4 @@ Before running the example scripts, you'll need to first export them from AnyLog
 1. Open the given model in AnyLogic (e.g., `examples/Pathfinder/ModelSource/Pathfinder.alp`)
 2. In the properties of its RL Experiment, click the export button at the top; save the zip file inside a folder named "ModelExported" to sit alongside the "ModelSource" folder
 3. In your file explorer, extract the contents of the zip in place (such that, e.g., the file `examples/Pathfinder/ModelExported/model.jar` is valid)
-4. Run the associated Python script
+4. Run the associated Python script