import torch.nn as nn import torch.optim as optim import base64 import matplotlib.pyplot as plt encoded_weight = """ """ def _build_model(input_shape, action_space): model = nn.Sequential( nn.Linear(input_shape, 512), nn.ReLU(), nn.Linear(512, 512), nn.ReLU(), nn.Linear(512,...
importnumpyasnp # 导入NumPy库,用于处理数组和数值计算importtorch # 导入PyTorch库,用于构建和训练深度学习模型importtorch.nnasnn # 导入PyTorch的神经网络模块,用于构建网络结构importtorch.optimasoptim # 导入PyTorch的优化器模块,用于优化神经网络参数importrandom # 导入Python的随机模块,用于实现随机采样 from collec...
在强化学习训练中,每一步会以epsilon(即ε)的概率选择A,否则选择B: defchoose_action(self,state):ifnp.random.rand()<self.epsilon:returnnp.random.randint(0,2)# CartPole有2个动作(左/右)else:state_tensor=torch.FloatTensor(state).to(device)q_values=self.q_net(state_tensor)returnq_values.cpu()...
torch.save(policy.state_dict(), os.path.join(log_path, 'policy.pth')) def stop_fn(x): return x >= env.spec.reward_threshold def train_fn(x): if x <= int(0.1 * args.epoch): policy.set_eps(args.eps_train) elif x <= int(0.5 * args.epoch): eps = args.eps_train - (x ...
What happened + What you expected to happen I am trying to run the RainbowDQN algorithm in RLllib. However, I encounter a problem when using the torch framework. More specifically, the torch rl modules for the DQN algorithm have not been...
import torch import torch.nn as nn import numpy as np import pandas as pd import matplotlib.pyplot as plt np.random.seed(42) torch.manual_seed(2) class Network(nn.Module): """ Network Structure """ def __init__(self, n_features, ...
从DQN 算法开始,我们将会用到rl_utils库,它包含一些专门为本书准备的函数,如绘制移动平均曲线、计算优势函数等,不同的算法可以一起使用这些函数。为了能够调用rl_utils库,请从GitHub 仓库下载rl_utils.py文件。 import randomimport gymimport numpy as npimport collectionsfrom tqdm import tqdmimport torchimport ...
DQN算法torch架构 ❀DQN算法原理 DQN,Deep Q Network本质上还是Q learning算法,它的算法精髓还是让 尽可能接近 ,或者说是让当前状态下预测的Q值跟基于过去经验的Q值尽可能接近。在后面的介绍中 也被称为TD Target 再来回顾下DQN算法和核心思想 相比于Q Table形式,DQN算法用神经网络学习Q值。
什么是 DQN - PyTorch | 莫烦Pythonmofanpy.com/tutorials/machine-learning/torch/intro-DQN/ 02 《DQN强化学习》 DQN 强化学习 - PyTorch | 莫烦Pythonmofanpy.com/tutorials/machine-learning/torch/DQN/ 03 《莫烦老师代码的github网址》 https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tut...
这一部分就是使用了torch的nn.Module模块,创建了属于自己的module,我写了另外一篇文章讲解了Pytorch中如何创建自己的module:Pytorch创建module的几种方式 Copyclass Qnet(nn.Module): def __init__(self, n_observations, n_actions): super(Qnet, self).__init__() self.model = nn.Sequential( nn.Linear(...