dummy

Source code: tianshou/env/worker/dummy.py

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class DummyEnvWorker(env_fn: Callable[[], Env])

Dummy worker used in sequential vector environments.

close_env() → None

get_env_attr(key: str) → Any

render(**kwargs: Any) → Any

Render the environment.

reset(**kwargs: Any) → tuple[ndarray, dict]

seed(seed: int | None = None) → list[int] | None

send(action: ndarray | None, **kwargs: Any) → None

Send action signal to low-level worker.

When action is None, it indicates sending “reset” signal; otherwise it indicates “step” signal. The paired return value from “recv” function is determined by such kind of different signal.

set_env_attr(key: str, value: Any) → None

static wait(workers: list[DummyEnvWorker], wait_num: int, timeout: float | None = None) → list[DummyEnvWorker]

Given a list of workers, return those ready ones.