LogLevel
LogLevel()
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.
LoggerPlugin
LoggerPlugin(
level, language, ip
)
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:
._get_level
._get_level(
level_str
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.log
.log(
log: dict, level: Union[LogLevel, str] = LogLevel.Debug
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.debug
.debug(
log
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.info
.info(
log
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.warning
.warning(
log
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.error
.error(
log
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.critical
.critical(
log
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.