How to evaluate and test the training result? about maac HOT 3 CLOSED

Hi,
Your codes are written very well~ Thanks for your great job! But in all folders, I only found codes for training the model and I didn’t find the codes for testing or evaluating the trained model in environments , would you mind uploading the evaluation codes file for testing or evaluating?
Thank you~

hi, Have you got the final result ? why did I always meet the issue that the machine memorry always overflow? Can you give me some reason?

from maac.

Hi,
Your codes are written very well~ Thanks for your great job! But in all folders, I only found codes for training the model and I didn’t find the codes for testing or evaluating the trained model in environments , would you mind uploading the evaluation codes file for testing or evaluating?
Thank you~

Did you solve this problem?

from maac.

Hi,

I do not have the bandwidth to release evaluation code at the moment. The process for evaluating a trained model is as such:

• Load the saved model file using AttentionSAC.init_from_save(<filename>)
• Rollout in the environment using the appropriate number of maximum steps (detailed in README)
• Keep track of total rewards per episode per agent
• Average episodic rewards (across Rovers for Rover-Tower and across Collectors for CTC) and report these values.

from maac.