StrongholdNet

Usage

1. Download raw stronghold data from here.

2. Clone this repository:

git clone https://github.com/younishd/strongholdnet.git

3. Install dependencies etc.

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

4. Generate the sequential dataset:

python dataset_rnn.py 100k_strongholds.txt > 100k_dataset_rnn.csv

5. Run JupyterLab and open the notebook: stronghold_rnn.ipynb

jupyter lab

6. ???

7. Debug

Models

model	brief	"evaluation"
rnn_2	LSTM trained on portal path data	- kinda good - better than simple classifier - has not learned being wrong is a thing
rnn_4	LSTM trained on portal and library path data	- overall worse than rnn_2 - somewhat more aware of backtracking
rnn_7	LSTM trained on portal path data + entry feature	- a better rnn_2
rnn_8	LSTM based on rnn_7 and briefly trained on its own navigation	- a promising failure
rnn_9	LSTM (2 layers) trained on the same data as rnn_7	- will be used as a base model for further training
rnn_10	LSTM (2 layers) based on rnn_9	- trained on its own navigation - approx. 18k strongholds