gym

window安装gym中Atari游戏出现[WinError 126]问题的解决方法

…衆ロ難τιáo~ 提交于 2020-03-28 09:21:07
当在Window环境下使用Gym模块的时候,基础环境都能使用,但是使用Atari游戏模型会报错 OSError: [WinError 126] 找不到指定的模块。 该问题出在Window10版本的Gym模块只做到了部分支持,要想解决该问题,应执行以下步骤: 1.先卸载掉之前安装的gym   pip uninstall atari -py   pip uninstall gym [atari ] 2.下载 VS build tools https://visualstudio.microsoft.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16 3运行 VS build tools并安装以下工具 4.重启电脑 5.安装cmake, atari-py 和 gym   pip install cmake   pip install atari -py   pip install gym [atari ] 6.测试    import atari_py    print (atari_py .list_games ( ) ) 转载: https://blog.csdn.net/weixin_44210881/article/details/103031995 来源: https://www.cnblogs.com

【Gym - 101164I】Cubes(dfs,剪枝)

試著忘記壹切 提交于 2020-03-04 07:45:39
BUPT2017 wintertraining(15) #4 A - I.Cubes Gym - 101164I 题意 将n拆成最少个立方数相加的形式。 题解 根据n的范围,立方数最大不超过400的立方,并且个数也不会很多。 dfs,设置一个深度的上限up。从大到小枚举立方数,剪枝条件:当前层数加上至少还需要的层数>=up就return。 代码 #include <cstdio> #include <cstring> using namespace std; int n,c[500],a[101],ans[1001],up=50; void dfs(int d,int x,int k){ if(x==0){ up=d; for(int i=1;i<=d;i++)ans[i]=a[i]; } if(d+1>=up||d+x/c[k]>=up)return; for(int i=k;i;i--)if(c[i]<=x){ a[d+1]=i; dfs(d+1,x-c[i],i); } } int main() { for(int i=1;i<=400;i++)c[i]=i*i*i; scanf("%d",&n); dfs(0,n,400); printf("%d\n",up); for(int i=1;i<=up;i++)printf("%d ",ans[i]); return 0; }

【RL】GYM

百般思念 提交于 2020-02-29 17:01:16
http://www.atyun.com/43195.html https://pypi.org/project/gym-super-mario-bros/ https://github.com/openai/retro/tree/develop http://www.atarimania.com/top-atari-atari-2600-vcs-_G_2_7.html https://blog.csdn.net/qq_41352018/article/details/80274425 来源: https://www.cnblogs.com/colipso/p/12383575.html

ubuntu 16.04安装gym

守給你的承諾、 提交于 2020-01-24 03:53:59
1.安装gym也要在虚拟环境下进行安装,对于虚拟环境的建立,使用conda,可以参考博客 https://blog.csdn.net/qs17809259715/article/details/103729478 方法一: 1.第一次尝试: 前提要先进入虚拟环境,然后使用如下命令 sudo apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev python-opengl libboost-all-dev libsdl2-dev swig git clone https://github.com/openai/gym.git pip install -e .[all] 报错 ERROR: File “setup.py” not found. Directory cannot be installed in editable mode: /home/qxw 突然发现再使用–user的时候,因为新开终端,而没有进入gym路径,导致出错。 在cd 切换到gym路径后,运行pip install --user -e ‘.[all]’,问题解决。 最终命令: sudo apt-get install -y python-numpy python-dev

[Gym - 101064F Metal detector] 递推

最后都变了- 提交于 2019-12-08 10:34:16
[Gym - 101064F Metal detector] 递推 题目链接 : [Gym - 101064F Metal detector] 题意描述 :有N个人排队,第一个人出队,第二个人调到队尾,第三个人出队,第四个人调到队尾,……依次类推,求第K个人是第几个出队的。 1 ≤ N ≤ 10 9 //--> 解题思路 :今天组队赛的时候SB了,推了好久,没有搞出来。卡在这么个水题上。 当K是奇数的时候, 毫无疑问,答案就是 K 2 + 1 //--> ; 考虑K为偶数的情况: N为偶数:ans(N, K)==>N/2 + ans(N/2, K/2); N为奇数:ans(N, K)==>N/2 + ans(N/2+1, K/2+1); 为什么是这样的呢?是因为本次操作先将N/2个元素出队,然后多余了最后一个元素先不处理,就相当于最后一个元素放在下一次操作里面去,那么下一次操作就相当于要处理N/2+1个数,其他的数字向后移动一位。这个感觉可意会不好言传… #include <bits/stdc++.h> using namespace std ; #define FIN freopen("input.txt","r",stdin) #define FOUT freopen("output.txt","w",stdout) int N, K; int solve ( int n,

gym- gazebo ,gym-baxter 接口

柔情痞子 提交于 2019-12-08 10:27:37
https://github.com/erlerobot/gym-gazebo gym和gazebo接口 https://github.com/erlerobot/gym-gazebo/blob/master/INSTALL.md 各版本安装方法 https://github.com/tpbarron/gym-baxter gym和baxter 接口 来源: CSDN 作者: JorkerRer 链接: https://blog.csdn.net/jianghao_ava/article/details/81027329

run openai gym with google compute engine

匿名 (未验证) 提交于 2019-12-03 09:05:37
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I was trying to run the CartPole-v0 example on a Google Compute Engine VM. https://gym.openai.com/docs import gym env = gym.make('CartPole-v0') env.reset() for _ in range(1000): env.render() env.step(env.action_space.sample()) # take a random action I have XQuartz installed, and ssh with -X. First, I was getting pyglet.canvas.xlib.NoSuchDisplayException: Cannot connect to "None" Then according to http://www.gitterforum.com/discussion/openai-gym?page=28 , I use "xvfb-run -s "-screen 0 1400x900x24" /bin/bash" Then it ran fine with the result:

open ai gym Nameerror

匿名 (未验证) 提交于 2019-12-03 08:50:26
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am trying to use the famous 'Gym' module from OpenAI on WSL and executing code on python 3.5.2. When I try to run an environment as explained here , using the code: import gym env = gym.make('CartPole-v0') for i_episode in range(20): observation = env.reset() for t in range(100): env.render() print(observation) action = env.action_space.sample() observation, reward, done, info = env.step(action) if done: print("Episode finished after {} timesteps".format(t+1)) break this happens : Traceback (most recent call last): File "<stdin>", line 4,

OpenAI Gym Atari on Windows

匿名 (未验证) 提交于 2019-12-03 02:45:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I'm having issues installing OpenAI Gym Atari environment on Windows 10. I have successfully installed and used OpenAI Gym already on the same system. It keeps tripping up when trying to run a makefile. I am running the command pip install gym[atari] Here is the error: and here is what I currently have on my system... cmake and make are both clearly installed. 回答1: A while ago I have created a fork with Windows support (devs of original repository do not merge or even comment PRs and issues). It does not require neither MSYS/Cygwin nor CMake

AttributeError: &#039;Timer&#039; object has no attribute &#039;_seed&#039;

匿名 (未验证) 提交于 2019-12-03 01:40:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: This is the code I used. I found this code on https://github.com/openai/universe#breaking-down-the-example . As I'm getting error on remote manager so I have to copy this code to run it. But it still giving me error as below import gym import universe # register the universe environments env = gym.make('flashgames.DuskDrive-v0') env.configure(remotes=1) # automatically creates a local docker container observation_n = env.reset() while True: action_n = [[('KeyEvent', 'ArrowUp', True)] for ob in observation_n] # your agent here observation_n,