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- import gym
- from gym.spaces import Box, Discrete
- import numpy as np
- class FastImageEnv(gym.Env):
- def __init__(self, config):
- self.zeros = np.zeros((84, 84, 4))
- self.action_space = Discrete(2)
- self.observation_space = Box(
- 0.0, 1.0, shape=(84, 84, 4), dtype=np.float32)
- self.i = 0
- def reset(self):
- self.i = 0
- return self.zeros
- def step(self, action):
- self.i += 1
- return self.zeros, 1, self.i > 1000, {}
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