How to continue training a model with train_ppo ?
Posted: Tue Jul 24, 2018 8:05 pm
I trained a model in the pybullet_ant environment with
python -m pybullet_envs.agents.train_ppo --config=pybullet_ant --logdir=ant
The trained model is now stored in ant/xxxxx (where xxxxx is a time-stamped subdirectory). Can I force train_ppo to load the trained model in a new training session? So I would continue training it, instead of starting from scratch?
Thank you.
python -m pybullet_envs.agents.train_ppo --config=pybullet_ant --logdir=ant
The trained model is now stored in ant/xxxxx (where xxxxx is a time-stamped subdirectory). Can I force train_ppo to load the trained model in a new training session? So I would continue training it, instead of starting from scratch?
Thank you.