Another tune after restoring a PPO algorithm

RLlib Checkpointing, Restoring
1

if i want to continue training my algorithm after saving it in the checkpoint, how can i make it?
my idea is show as following but the grammer is not right that algo can not be directly used in the tune.Tuner:

algo = config.build()
algo.restore(user_checkpoint_dir)
results = tune.Tuner(
    algo,
    param_space=config,
    run_config=air.RunConfig(
        stop=stop,
        verbose=2,
        checkpoint_config=air.CheckpointConfig(checkpoint_at_end=True),
    ),
).fit()
3

thanks for your reply, i will continue looking for a way to solve this problem. I think the problem lies in the tune startup process, but I still don’t have the time or ability to look at the code bit by bit. I will get back to you if there is any progress