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https://github.com/vale981/ray
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85 lines
1.8 KiB
Python
85 lines
1.8 KiB
Python
from ray.rllib.env.dm_control_wrapper import DMCEnv
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import numpy as np
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"""
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8 Environments from Deepmind Control Suite
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"""
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def acrobot_swingup():
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return DMCEnv(
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"acrobot",
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"swingup",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def hopper_hop():
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return DMCEnv(
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"hopper",
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"hop",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def hopper_stand():
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return DMCEnv(
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"hopper",
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"stand",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def cheetah_run():
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return DMCEnv(
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"cheetah",
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"run",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def walker_run():
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return DMCEnv(
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"walker",
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"run",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def pendulum_swingup():
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return DMCEnv(
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"pendulum",
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"swingup",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def cartpole_swingup():
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return DMCEnv(
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"cartpole",
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"swingup",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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def humanoid_walk():
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return DMCEnv(
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"humanoid",
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"walk",
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from_pixels=True,
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height=64,
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width=64,
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task_kwargs={"random": np.random.randint(low=0, high=1e9)})
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