BaseService
BaseService(
api, **kwargs
)
Deep Deterministic Policy Gradient
Arguments
actor_model (keras.nn.Model instance): See Model for details.
critic_model (keras.nn.Model instance): See Model for details.
optimizer (keras.optimizers.Optimizer instance):
See Optimizer for details.
action_inp (keras.layers.Input / keras.layers.InputLayer instance):
See Input for details.
tau (float): tau.
gamma (float): gamma.
Methods:
.help
.help()
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.run
.run()
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.running
.running()
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.start
.start()
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.stop
.stop()
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
ServiceState
ServiceState()
Deep Deterministic Policy Gradient
Arguments
actor_model (keras.nn.Model instance): See Model for details.
critic_model (keras.nn.Model instance): See Model for details.
optimizer (keras.optimizers.Optimizer instance):
See Optimizer for details.
action_inp (keras.layers.Input / keras.layers.InputLayer instance):
See Input for details.
tau (float): tau.
gamma (float): gamma.
ServiceInfo
ServiceInfo()
Deep Deterministic Policy Gradient
Arguments
actor_model (keras.nn.Model instance): See Model for details.
critic_model (keras.nn.Model instance): See Model for details.
optimizer (keras.optimizers.Optimizer instance):
See Optimizer for details.
action_inp (keras.layers.Input / keras.layers.InputLayer instance):
See Input for details.
tau (float): tau.
gamma (float): gamma.
on_begin
.on_begin(
name, *args, **kwargs
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
on_error
.on_error(
name, *args, **kwargs
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
on_end
.on_end(
name, *args, **kwargs
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
create
.create(
api
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
get_class
.get_class(
name
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
get
.get(
api, name
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.