Web5 Jan 2024 · Overview. Tianshou ( 天授) is a reinforcement learning platform based on pure PyTorch. Unlike existing reinforcement learning libraries, which are mainly based on … WebShmemVectorEnv¶ class tianshou.env. ShmemVectorEnv (env_fns: List [Callable [], gym.core.Env]], ** kwargs: Any) [source] ¶ Bases: tianshou.env.venvs.BaseVectorEnv. …
Where is ShmemVectorEnv
Web26 Mar 2024 · environment of the given task, for example, ``gym.make (task)``. All of the VectorEnv must inherit :class:`~tianshou.env.BaseVectorEnv`. Otherwise, the outputs of these envs may be the same with each other. :param env_fns: a list of callable envs, ``env_fns [i] ()`` generates the i-th env. Web1 Jul 2024 · yes, we find that SubprocVectorEnv is slow so we change it to ShmemVectorEnv, ShmemVectorEnv is better than SubprocVectorEnv from our test data. … pois chiche indien
SubprocVectorEnv/ShmemVectorEnv is much slower than ... - GitHub
Web5 Jan 2024 · Tianshou is a reinforcement learning platform based on pure PyTorch.Unlike existing reinforcement learning libraries, which are mainly based on TensorFlow, have many nested classes, unfriendly API, or slow-speed, Tianshou provides a fast-speed modularized framework and pythonic API for building the deep reinforcement learning agent with the … Web13 Jul 2024 · import tianshou, torch, numpy, sys print ( tianshou. __version__, torch. __version__, numpy. __version__, sys. version, sys. platform) Hi, I created a distributed … WebShmemVectorEnv ¶ class tianshou.env.ShmemVectorEnv(env_fns: List[Callable[], gym.core.Env]], **kwargs: Any) [source] ¶ Bases: Generic [ gym.core.ObsType, … pois chiche monoprix