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?
Official Python bindings with a focus on reinforcement learning and robotics.
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