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config.py
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config.py
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from dataclasses import dataclass
import torch
@dataclass
class prdc_config:
# Experiment
device: str = "cuda" if torch.cuda.is_available() else "cpu"
dataset_name: str = "halfcheetah-medium-v2"
seed: int = 42
max_timesteps: int = int(1e6)
max_action : float = 1.0
action_dim: int = 6
state_dim: int = 17
buffer_size: int = 1_000_000
actor_lr: float = 3e-4
critic_lr: float = 3e-4
hidden_dim: int = 256
batch_size: int = 256
discount: float = 0.99
tau: float = 0.005
policy_noise: float = 0.2
noise_clip: float = 0.5
policy_freq: int = 2
alpha: float = 40.0
beta: float = 2
k: int = 1
critic_ln: bool = True
normalize: bool = True
project: str = "PRDC"
group: str = dataset_name
name: str = dataset_name + "_" + str(seed)