How can I evaluate a trained agent in a deterministic way?

[fatcatZF]

How can I evaluate a trained agent in a deterministic way like the evaluate_policy function in stable baselines3?

[Toni-SM]

Hi @fatcatZF

For it, there will be necessary to modify skrl trainer's eval method or agent's act method to get/return the mean_actions in a similar way as discussed in isaac-sim/IsaacLab#1078 (comment)