42 lines
926 B
Python
42 lines
926 B
Python
# from joblib import load
|
||
#
|
||
# model = load('AgentPPO/reward_data.pkl')
|
||
#
|
||
# data = model['mean_episode_reward']
|
||
# print(data)
|
||
|
||
|
||
# import torch
|
||
#
|
||
# model_path = 'AgentDDPG/actor.pth'
|
||
#
|
||
# checkpoint = torch.load(model_path, map_location=torch.device('cuda'))
|
||
#
|
||
# # 如果.pth文件保存的是整个模型（包含模型结构和参数）
|
||
# model = checkpoint # 这里假设checkpoint直接就是模型实例，有时候可能需要model.load_state_dict(checkpoint['state_dict'])
|
||
|
||
# 如果.pth文件仅保存了state_dict（模型参数）
|
||
# model = YourModelClass() # 实例化你的模型
|
||
# model.load_state_dict(checkpoint)
|
||
|
||
print(model)
|
||
|
||
import pickle
|
||
|
||
a = 'DDPG'
|
||
b = 'PPO'
|
||
c = 'SAC'
|
||
d = 'TD3'
|
||
|
||
a1 = '/reward_data.pkl'
|
||
a2 = '/loss_data.pkl'
|
||
a3 = '/test_data.pkl'
|
||
|
||
filename = './Agent' + a + a3
|
||
|
||
# 使用 'rb' 模式打开文件，读取二进制数据
|
||
with open(filename, 'rb') as f:
|
||
data = pickle.load(f)
|
||
|
||
print(data)
|