问题描述
C:\Users\vk Yadav>cd d:
D:\
C:\Users\vk Yadav>
为什么会这样？
解决方法
import numpy as np
import random
import copy
from collections import namedtuple,deque
from model import Actor,Critic
import torch
import torch.nn.functional as F
import torch.optim as optim
BUFFER_SIZE = int(1e6) # replay buffer size
BATCH_SIZE = 128 # minibatch size
LR_ACTOR = 1e-3 # learning rate of the actor
LR_CRITIC = 1e-3 # learning rate of the critic
WEIGHT_DECAY = 0 # L2 weight decay
LEARN_EVERY = 1 # learning timestep interval
LEARN_NUM = 5 # number of learning passes
GAMMA = 0.99 # discount factor
TAU = 8e-3 # for soft update of target parameters
OU_SIGMA = 0.2 # Ornstein-Uhlenbeck noise parameter,volatility
OU_THETA = 0.15 # Ornstein-Uhlenbeck noise parameter,speed of mean reversion
EPS_START = 5.0 # initial value for epsilon in noise decay process in Agent.act()
EPS_EP_END = 300 # episode to end the noise decay process
EPS_FINAL = 0 # final value for epsilon after decay
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
#Critic Network (w/ Target Network)(every agent share common critic)
**critic_local = Critic(24,2,0).to(device)
critic_target = Critic(24,0).to(device)
critic_optimizer = optim.Adam(critic_local.parameters(),lr=LR_CRITIC,weight_decay=WEIGHT_DECAY)**
class Agent():
"""Interacts with and learns from the environment."""
def __init__(self,state_size,action_size,num_agents,random_seed):
"""Initialize an Agent object.
Params
======
state_size (int): dimension of each state
action_size (int): dimension of each action
num_agents (int): number of agents
random_seed (int): random seed
"""
self.state_size = state_size
self.action_size = action_size
self.num_agents = num_agents
self.seed = random.seed(random_seed)
self.eps = EPS_START
self.eps_decay = 1/(EPS_EP_END*LEARN_NUM) # set decay rate based on epsilon end target
self.timestep = 0
# Actor Network (w/ Target Network)
self.actor_local = Actor(state_size,random_seed).to(device)
self.actor_target = Actor(state_size,random_seed).to(device)
self.actor_optimizer = optim.Adam(self.actor_local.parameters(),lr=LR_ACTOR)
# Noise process
self.noise = OUNoise((num_agents,action_size),random_seed)
# Replay memory
self.memory = ReplayBuffer(action_size,BUFFER_SIZE,BATCH_SIZE,random_seed)
表示更改目录。您不使用它来更改驱动器。键入cd会告诉您驱动器cd D:上的当前目录是什么。
要更改驱动器，只需在D:中键入新的驱动器号，然后键入：，然后按 Enter 。
要了解D:的功能，请在命令提示符下键入cd。
阅读cd /?帮助显示，将目录更改为其他驱动器时需要使用/d选项。
cd /d D:\
但使用
cd /d D:
将仅更改为具有先前路径的驱动器，类似于独立的D:命令
该命令显然适用于附加文件夹。
cd /d "D:\Some Folder\"
如果您只想更改驱动器，那么只需
D:
将更改为驱动器。但是，如果在切换到D:之前位于C:\上的特定目录中，那么运行D:将使您回到该目录中。以下内容对此进行了演示，您可以通过复制它来进行测试，在我有Some Folder的地方添加实际目录名称，然后粘贴到您的cmd窗口中。
echo off & cls
cd "%userprofile%"
cd
cd /d "D:\Some Folder\"
cd
D:
cd
C:
cd
cd /d D:
cd
cd /d C:
cd
cd /d D:\
cd
cd /d C:\
cd
在系统上运行以上命令（请注意，我使用Z:\而不是D:\）
因此，如果您打算只完全登陆驱动器或驱动器\ dir，则只需使用cd /d path
键入D：并按Enter。这样您就可以移至D盘