Source code for texar.tf.agents.agent_gym_utils

# Copyright 2018 The Texar Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""
Various agent utilities based on OpenAI Gym.
"""

import gym

__all__ = [
    "convert_gym_space",
    "get_gym_env_config"
]


[docs]def convert_gym_space(spc): """Converts a :gym:`gym.Space <#spaces>` instance to a :class:`~texar.tf.agents.Space` instance. Args: spc: An instance of `gym.Space` or :class:`~texar.tf.agents.Space`. """ from texar.tf.agents.agent_utils import Space if isinstance(spc, Space): return spc if isinstance(spc, gym.spaces.Discrete): return Space(shape=(), low=0, high=spc.n, dtype=spc.dtype) elif isinstance(spc, gym.spaces.Box): return Space( shape=spc.shape, low=spc.low, high=spc.high, dtype=spc.dtype)
[docs]def get_gym_env_config(env): """Creates an instance of :class:`~texar.tf.agents.EnvConfig` from a :gym:`gym env <#environments>`. Args: env: An instance of OpenAI gym Environment. Returns: An instance of :class:`~texar.tf.agents.EnvConfig`. """ from texar.tf.agents.agent_utils import EnvConfig return EnvConfig( action_space=env.action_space, observ_space=env.observation_space, reward_range=env.reward_range)