具体地,你可能需要在初始化环境时设置一个`render_mode`参数,然后直接使用`env.render()`,而不再需要`mode`参数。 这是一个例子,假设`env_name`是你希望使用的环境名称: env = gym.make(env_name, render_mode='rgb_array') env.render() 注意,具体的API变更可能因环境而异,所以建议查阅针对你所使用环境...
vec_reward = np.array([reward_run, reward_energy], dtype=np.float32)# terminated truncatedang = self.data.qpos[2]# terminated = not (abs(ang) < np.deg2rad(50)) # 终止 pgmorl pdmorl有终止terminated =False# 终止 pgmorl pdmorl有终止truncated =False# 截断# infoinfo = {}# renderifsel...
env.render() 4. 如果你需要在人工干预程序中显示出Gym环境模拟画面,你可以使用ipywidgets,如下所示: from IPython.display import clear_output import ipywidgets as widgets from IPython.display import display while True: clear_output(wait=True) display(widgets.Image(data=env.render(mode='rgb_array')...
env.reset() # 初始状态 env.render(mode='rgb_array') t = 0 # 随便动一步(初始状态) action = env.action_space.sample() state, _, done, _ = env.step(action) env.render(mode='rgb_array') # 绘图 plt.figure() plt.clf() plt.title('Example extracted screen') while True: action =...
再画个圆试试:【render函数替换一下就行】 def render(self, mode='human', close=False): # 画一个直径为 30 的园 circle = rendering.make_circle(30) self.viewer.add_geom(circle) return self.viewer.render(return_rgb_array=mode == 'rgb_array') ...
return self.viewer.render(return_rgb_array=mode == 'rgb_array') if self.viewer: self.viewer.close() self.viewer = None 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. ...
',close=False):# 画一个直径为 30 的园circle=rendering.make_circle(30)# 添加一个平移操作circle_transform=rendering.Transform(translation=(100,200))# 让圆添加平移这个属性,circle.add_attr(circle_transform)self.viewer.add_geom(circle)returnself.viewer.render(return_rgb_array=mode=='rgb_array')...
frames=[]env=gym.make('CartPole-v1')info=env.reset()# 重置环境forstepinrange(100):frames.append(env.render(mode='rgb_array'))# 加载各个时刻图像到帧show_state(env,step,info='CartPole_test')# 显示渲染窗口action=env.action_space.sample()# 随机动作,需要学习的动作模型# action=np.random.ch...
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...
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') ...