Networks¶
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class
A2CNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
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__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
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forward
(state, **kwargs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
DDPGCriticNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
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__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state, action)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
DDPGActorNetwork
(input_shape, output_shape, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
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__init__
(input_shape, output_shape, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
SACCriticNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
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__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state, action)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
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class
SACActorNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
TD3CriticNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
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__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state, action)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
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class
TD3ActorNetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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class
TRPONetwork
(input_shape, output_shape, n_features, **kwargs)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(input_shape, output_shape, n_features, **kwargs)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(state, **kwargs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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