24fe3d6576
* import rl-algs from 2e3a166 commit * extra import of the baselines badge * exported commit with identity test * proper rng seeding in the test_identity
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
import tensorflow as tf
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from gym.spaces import Discrete, Box
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def observation_input(ob_space, batch_size=None, name='Ob'):
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'''
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Build observation input with encoding depending on the
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observation space type
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Params:
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ob_space: observation space (should be one of gym.spaces)
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batch_size: batch size for input (default is None, so that resulting input placeholder can take tensors with any batch size)
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name: tensorflow variable name for input placeholder
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returns: tuple (input_placeholder, processed_input_tensor)
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'''
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if isinstance(ob_space, Discrete):
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input_x = tf.placeholder(shape=(batch_size,), dtype=tf.int32, name=name)
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processed_x = tf.to_float(tf.one_hot(input_x, ob_space.n))
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return input_x, processed_x
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elif isinstance(ob_space, Box):
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input_shape = (batch_size,) + ob_space.shape
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input_x = tf.placeholder(shape=input_shape, dtype=ob_space.dtype, name=name)
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processed_x = tf.to_float(input_x)
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return input_x, processed_x
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else:
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raise NotImplementedError
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