最好是将env.render(mode='rgb_array')的输出保存起来制作成gift或mp4 !aptinstallxvfb-y!pipinstallpyvirtualdisplay!pipinstallpigletimportgymfromIPythonimportdisplayfrompyvirtualdisplayimportDisplayfromPILimportImage_display=Display(visible=0,size=(1400,900))_display.start()#将env.render()改为如下代码displ...
import gym env = gym.make("Taxi-v3") env.reset() env.render(mode='rgb_array') yields Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/opt/anaconda3/envs/vid/lib/python3.9/site-packages/gym/core.py", line 286,...
I need to the following on macos Big Sur 11.4, python3.9.5, gym==0.18.3 to get frame as an array which is not returned by default for bipedal walker env. import gym env = gym.make('BipedalWalker-v3') state = env.render(mode='rgb_array') ...
- dones: an array of "episode done" booleans - infos: a sequence of info object 1. 2. 3. 4. 5. 6. obs,rews,dones,infos 向上级返回。 render函数为绘图动作,该函数将多个环境的当前状态的图片进行拼接,在'human'模式下将拼接后的图片进行绘图操作,在'rgb_array'模式下对拼接后的图片的np.array...
defrender(self,return_rgb_array=False): glClearColor(1,1,1,1) self.window.clear() self.window.switch_to() self.window.dispatch_events() self.transform.enable() forgeominself.geoms: geom.render() forgeominself.onetime_geoms: geom.render() ...
- dones: an array of "episode done" booleans - infos: a sequence of info object obs,rews,dones,infos 向上级返回。 render函数为绘图动作,该函数将多个环境的当前状态的图片进行拼接,在'human'模式下将拼接后的图片进行绘图操作,在'rgb_array'模式下对拼接后的图片的np.array形式数据进行返回。
· render()函数作用:起到图像引擎作用,对于强化学习算法渲染函数可以没有,但是加入图像引擎可以方便调试代码时直观显示当前环境中物体的状态。 ·step()函数作用:起到物理引擎,其输入是动作a,输出是:下一步状态,立即回报,是否终止,调试项;该函数中,一般利用智能体的运动学模型和动力学模型计算下一步的状态和立即回...
import gym env = gym.make('BipedalWalker-v3') state = env.render(mode='rgb_array') This does the job however, I don't want a window popping up because this will be called by pytest so, that window beside requiring a virtual display if the tests are run remotely on some server, is...
render():如果要进行可视化则实现 """ class MyEnv(gym.Env): 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 函数reset()作用:智能体需要一次次地尝试累积经验,然后从经验中学到好的动作。一次尝试称之为一条轨迹或一个episode. 每次尝试都要到达终止状态. 一次尝试结束后,智能体需要从头开始,这就需要...