TabView
TabView(
id_
)
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:
.new_tab
.new_tab(
tab
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.update_tab
.update_tab(
tab, *content
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.get_tab
.get_tab(
tab
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.new_row
.new_row(
tab, text
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.
.draw
.draw(
screen
)
Remember the transaction.
Accepts a state, action, reward, next_state, terminal transaction.
Arguments
transaction (abstract): state, action, reward, next_state, terminal transaction.