ray.rllib.core.learner.learner.Learner.save_state#
- Learner.save_state(path: str | Path) None [source]#
Save the state of the learner to path
NOTE: if path doesn’t exist, then a new directory will be created. otherwise, it will be appended to.
the state of the learner is saved in the following format:
checkpoint_dir/ learner_state.json module_state/ module_1/ ... optimizer_state/ optimizers_module_1/ ...
- Parameters:
path – The path to the directory to save the state to.