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The gridworld environment contains simple environments in RL book and compatible with OpenAI-gym.


pip install gymgird


import gym
import gymgrid
env = env = gym.make('cliff-v0')
for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)
        if done:
            print("Episode finished after {} timesteps".format(t+1))
print("env closed")


  • Sample1
  • Sample2
  • Cliff: Example 6.5: Cliff Walking
  • WindyGridWorld: Exercise 6.9 Windy Gridworld with King's Moves

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