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5fadb9c18e
Adding mxnet components to rl_coach architectures. - Supports PPO and DQN - Tested with CartPole_PPO and CarPole_DQN - Normalizing filters don't work right now (see #49) and are disabled in CartPole_PPO preset - Checkpointing is disabled for MXNet
53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
"""
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Module that defines the fully-connected middleware class
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"""
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from rl_coach.architectures.mxnet_components.layers import Dense
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from rl_coach.architectures.mxnet_components.middlewares.middleware import Middleware
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from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters
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from rl_coach.base_parameters import MiddlewareScheme
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class FCMiddleware(Middleware):
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def __init__(self, params: FCMiddlewareParameters):
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"""
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FCMiddleware or Fully-Connected Middleware can be used in the middle part of the network. It takes the
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embeddings from the input embedders, after they were aggregated in some method (for example, concatenation)
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and passes it through a neural network which can be customizable but shared between the heads of the network.
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:param params: parameters object containing batchnorm, activation_function and dropout properties.
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"""
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super(FCMiddleware, self).__init__(params)
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@property
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def schemes(self) -> dict:
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"""
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Schemes are the pre-defined network architectures of various depths and complexities that can be used for the
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Middleware. Are used to create Block when FCMiddleware is initialised.
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:return: dictionary of schemes, with key of type MiddlewareScheme enum and value being list of mxnet.gluon.Block.
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"""
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return {
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MiddlewareScheme.Empty:
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[],
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# Use for PPO
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MiddlewareScheme.Shallow:
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[
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Dense(units=64)
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],
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# Use for DQN
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MiddlewareScheme.Medium:
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[
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Dense(units=512)
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],
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MiddlewareScheme.Deep:
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[
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Dense(units=128),
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Dense(units=128),
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Dense(units=128)
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]
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}
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