96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
import argparse
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from utils.hyperparams import HPARAMS
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def parse_args():
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parser = argparse.ArgumentParser(
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prog='Pneuma',
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description='A Reinforcement Learning platform made with PyGame'
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)
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# Define seed
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parser.add_argument('--no_seed',
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default=False,
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action="store_true",
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help="Set to run without a seed.")
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parser.add_argument('--seed',
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type=int,
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default=1,
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help="The seed for the RNG.")
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# Define episodes and agents
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parser.add_argument('--n_episodes',
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type=int,
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default=12000,
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help="Number of episodes.")
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parser.add_argument('--ep_length',
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type=int,
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default=700,
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help="Length of each episode.")
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parser.add_argument('--n_agents',
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type=int,
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default=1,
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help="Number of agents.")
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# Define hyperparameters
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parser.add_argument('--horizon',
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type=int,
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default=HPARAMS["horizon"],
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help="The number of steps per update")
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parser.add_argument('--gamma',
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type=float,
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default=HPARAMS["discount_factor"],
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help="The discount factor for PPO")
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parser.add_argument('--entropy_coeff',
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type=float,
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default=HPARAMS["entropy_coeff"],
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help="The entropy coefficient")
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parser.add_argument('--alpha',
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type=float,
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default=HPARAMS["learning_rate"],
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help="The learning_rate for PPO")
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parser.add_argument('--policy_clip',
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type=float,
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default=HPARAMS["policy_clip"],
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help="The policy clip for PPO")
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parser.add_argument('--batch_size',
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type=int,
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default=HPARAMS["batch_size"],
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help="The size of each batch")
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parser.add_argument('--n_epochs',
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type=int,
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default=HPARAMS["num_epochs"],
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help="The number of epochs")
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parser.add_argument('--gae_lambda',
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type=float,
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default=HPARAMS["GAE_lambda"],
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help="The lambda parameter of the GAE")
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# Misc
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parser.add_argument('--no_training',
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default=False,
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action="store_true",
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help="Set flag to disable learning. Useful for viewing trained agents interact in the environment.")
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parser.add_argument('--load',
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type=int,
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default=None,
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help="Run id to load within chkpt_path")
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parser.add_argument('--show_pg',
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default=False,
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action="store_true",
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help="Set flag to open a PyGame window on desktop")
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return parser.parse_args()
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