Is it possible to create a tensorboard log dir for an agent?

I am making an agent using the following code

Configuring an Agent: This agent use Defatlt settings from RayRLlib

config = (
# The RL algorithm
# The gym Env
# Numbers of rollout workers
.rollouts(num_rollout_workers = 1)
# Use “torch” for using pytorch or “tf” or “tf2” for Tensor Flow.
# Numbers of evalution workers

#Building the agent with the configurations mentioned above
agent =

is it possible to specify a dir manually so that when I perform agent.train() the tensorboard log will be stored in the mentioned dir?