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38 lines
908 B
Python
38 lines
908 B
Python
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# dir
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DATA_SAVE_DIR = "datasets"
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TRAINED_MODEL_DIR = "trained_models"
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TENSORBOARD_LOG_DIR = "tensorboard_log"
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RESULTS_DIR = "results"
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# Model Parameters
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A2C_PARAMS = {"n_steps": 5, "ent_coef": 0.01, "learning_rate": 0.0007}
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PPO_PARAMS = {
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"n_steps": 2048,
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"ent_coef": 0.01,
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"learning_rate": 0.00025,
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"batch_size": 64,
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}
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DDPG_PARAMS = {"batch_size": 128, "buffer_size": 50000, "learning_rate": 0.001}
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TD3_PARAMS = {
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"batch_size": 100,
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"buffer_size": 1000000,
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"learning_rate": 0.001,
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}
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SAC_PARAMS = {
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"batch_size": 64,
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"buffer_size": 100000,
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"learning_rate": 0.0001,
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"learning_starts": 100,
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"ent_coef": "auto_0.1",
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}
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ERL_PARAMS = {
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"learning_rate": 3e-5,
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"batch_size": 2048,
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"gamma": 0.985,
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"seed": 312,
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"net_dimension": 512,
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"target_step": 5000,
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"eval_gap": 30,
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}
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RLlib_PARAMS = {"lr": 5e-5, "train_batch_size": 500, "gamma": 0.99}
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