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GymWrapper

torchrl.envs.libs.gym.GymWrapper(*args, **kwargs)[source]

OpenAI Gym environment wrapper.

Examples

>>> env = gym.make("Pendulum-v0")
>>> env = GymWrapper(env)
>>> td = env.rand_step()
>>> print(td)
>>> print(env.available_envs)

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