add minitaur environment randomizer, enable it by default
this improves PPO training ( more stable)
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"""Abstract base class for environment randomizer."""
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import abc
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class EnvRandomizerBase(object):
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"""Abstract base class for environment randomizer.
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An EnvRandomizer is called in environment.reset(). It will
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randomize physical parameters of the objects in the simulation.
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The physical parameters will be fixed for that episode and be
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randomized again in the next environment.reset().
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"""
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__metaclass__ = abc.ABCMeta
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@abc.abstractmethod
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def randomize_env(self, env):
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"""Randomize the simulated_objects in the environment.
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Args:
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env: The environment to be randomized.
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"""
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pass
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