How to test a trained model

[Watermelon-ice111]

Package versioning is managed with poetry
pip install poetry
Clone the repository
git clone https://github.com/reiniscimurs/DRL-robot-navigation.git
Navigate to the cloned location and install using poetry
poetry install
Training the model

Run the training by executing the train.py file
poetry run python robot_nav/rl_train.py

To open tensorbord, in a new terminal execute
tensorboard --logdir runs

I have followed the above sequence and trained it in 4 hours. How should I test the trained model
thanks

[reiniscimurs]

There is rl_test.py that you can use to test a trained model

[Watermelon-ice111]

thanks！ I found that because CNNTD3 was used during actual training, but the TD3 network was used for testing, running rl_test.py would result in an error.