stable_baselines 3 doesn't store the tensorboard_log

Question

I am just getting into reinforcement learning. My Model doesn't create any files in the given directory. What am i doing wrong?

def train():
    model = PPO('MlpPolicy', env, verbose=1, tensorboard_log=log_path)

    model.learn(total_timesteps=3000)
    with open(os.path.join(log_path,"Text.txt")) as file: #Test if given directory works
        print(file.read())

    model.save(PPO_Path)

The trained model does work perfectly fine.

Answer 1

model.learn() function should have additional parameter tb_log_name

Like this:

model.learn(total_timesteps=3000, tb_log_name="experiment_1")