但是在env.action_space.sample()中发现 a1 != a2,说明 action_space.sample()不受env.seed()控制。 import gym import numpy as np env1 = gym.make('CartPole-v1') env2 = gym.make('CartPole-v1') env3 = gym.make('CartPole-v1') env1.seed(1) env2.seed(1) env3.seed(2) s1 = env...
作用:设置env.reset()是随机还是固定 验证:env.seed(number)#number为固定值 print(env.reset())#...
import gym env = gym.make("CartPole-v1") env.seed(0) n1 = [] for _ in range(1): n1.append(env.reset()[0]) done = False while not done: next , reward, done, _ = env.step(env.action_space.sample()) n1.append(next[0]) env.seed(0) n2 = [] for _ in range(1): n2...
将“gym"翻译成Lushootseed stəlawilali是将“gym"翻译成 Lushootseed。 gym verb noun 语法 short form of gymnasium. [..] + 加 英文-Lushootseed字典 stəlawilali Dragon Man The Fricking Normie 显示算法生成的翻译 带有“gym"的图片 加 在上下文、翻译记忆库中将“gym"翻译成 Lushoot...
Why the breakout environment is the same with different seed? Ask Question Asked 1 year, 1 month ago Modified 6 months ago Viewed 105 times 0 import gymnasium as gym import numpy as np for s in [0,1,2,3,4]: env=gym.make("BreakoutNoFrameskip-v4") observation, info = env....
Hi everyone, when I try to run simple example code: import gym env = gym.make("LunarLander-v2") env.action_space.seed(42) observation, info = env.reset(seed=42, return_info=True) for _ in range(1000): observation, reward, done, info = en...
Random Seed Feature#250 Closed RuofanKongopened this issueJul 19, 2016· 4 comments RuofanKongcommentedJul 19, 2016 Yes, envs in gym expose a seed() function for exactly this purpose e.g. >>> import gym >>> env = gym.make('CartPole-v0') >>> env.seed(0) ...
代理」(agent)的结构不作要求,还可以和任意数值计算库兼容(如 Tensorflow 和 Pytorch)。Gym 提供了...
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