在使用render_mode = 'human’时,会出现无论何时都会自动渲染动画的问题,比如下述算法 此时就算是在训练过程中也会调用进行动画的渲染,极大地降低了效率,毕竟我的目的只是想通过渲染检测一下最终的效果而已 import Q_learningasql import gym env= gym.make("CliffWalking-v0", render_mode='human') Q= ql.tr...
2.4 定义render(self, mode = ‘human’): def render(self, mode='human'): from gym.envs.classic_control import rendering screen_width = 700 screen_height = 700 if self.viewer is None: self.viewer = rendering.Viewer(screen_width,screen_height) # Plot the GridWorld self.line1 = rendering....
env.render() env.step(env.action_space.sample()) # take a random action env.close() 1. 2. 3. 4. 5. 6. 7. 代码含义: reset(self):重置环境的状态,返回观察。 step(self, action):推进一个时间步长,返回observation, reward, done, info。 render(self, mode=‘human’, close=False):重绘...
)if__name__ =='__main__':importgymnasiumasgym# env = MOHalfCheetahEnv(render_mode="human")# env = MOHalfCheetahEnv()# env = mo_gym.make('mo-halfcheetah-v4') # 无done 1000次# env = gym.make("HalfCheetah-v4") # 无done 1000次env = gym.make("wx-half-v1", disable_env_che...
您不应该忘记将meta元数据属性添加到类中。在那里,您应该指定环境支持的render_mode(例如“human”、“rgb_array”、“ansi”)以及渲染环境的帧速率。每个环境都应该支持None作为渲染模式;您不需要将其添加到元数据中。在GridWorldEnv中,我们将支持“rgb_array”和“human”模式,并以4 FPS进行渲染。
原始基类为Env,主要可调用step,reset,render,close,seed几个方法,大体框架如下 classEnv(object):defreset(self):passdefstep(self,action):passdefrender(self,mode='human'):passdefclose(self):passdefseed(self,seed=None):pass 同时Wrapper包装器继承Env类 ...
The Gym interface is simple, pythonic, and capable of representing general RL problems: importgymenv=gym.make("LunarLander-v2",render_mode="human")observation,info=env.reset(seed=42)for_inrange(1000):action=policy(observation)# User-defined policy functionobservation,reward,terminated,truncated,info...
最后, 我们可以使用render打印信息: defrender(self,mode='human',close=False):# Render the environment to the screenprofit=self.net_worth-INITIAL_ACCOUNT_BALANCEprint(f'Step: {self.current_step}')print(f'Balance: {self.balance}')print(f'Shares held: {self.shares_held} (Total sold: {self....
frames=[]env=gym.make("LunarLander-v2")env.reset()env.action_space.seed(42)observation,info=env.reset(seed=42,return_info=True)forstepinrange(100):frames.append(env.render(mode='rgb_array'))# 加载各个时刻图像到帧env.render(mode='human')# 这行不能和env定义写在一行,否则会报错,原因不明...
Tried to use gymnasium on several platforms and always get unresolvable error Code example import gymnasium as gym env = gym.make("LunarLander-v2", render_mode="human") ModuleNotFoundError Traceback (most recent call last) /usr/local/lib...