Files
2026-07-13 13:17:40 +08:00

21 lines
574 B
Python

import gymnasium as gym
import numpy as np
from gymnasium.spaces import Box, Discrete
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, *, seed=None, options=None):
self.i = 0
return self.zeros, {}
def step(self, action):
self.i += 1
done = truncated = self.i > 1000
return self.zeros, 1, done, truncated, {}