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Trinkle23897 avatar Trinkle23897 commented on July 22, 2024

This is expected behavior. async_reset can only be called once at the beginning. All the rest of work is handled by send and recv with auto-reset mechanism.

You can change the code to what I mentioned in #112. That should work.

from envpool.

Trinkle23897 avatar Trinkle23897 commented on July 22, 2024
import envpool
import numpy as np

if __name__ == '__main__':
    N = 100

    # Initialize environments
    env = envpool.make("CartPole-v1", env_type="gym", num_envs=N)

    for round in range(1000):
        print(f"==> Round {round: 4}.", end="\r")
        env_id = np.arange(N)
        # Reset all environments
        obs = env.reset(env_id)
        done = np.array([False] * N)

        # Play exactly 100 episodes
        while not np.all(done):
            action = np.random.randint(env.action_space.n, size=len(env_id))
            state, rew, done, info = env.step(action, env_id)
            env_id = info["env_id"][~done]

from envpool.

mavenlin avatar mavenlin commented on July 22, 2024

One thing we could improve here is to throw a verbose exception instead of the internal error.

As for your use case, I think it is achievable by creating a new envpool instance.

from envpool.

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