Decision Module
1.0
ICRA2020 AI Challenge Northwestern Polytechnical University Aoxiang Team Strategy Code
dqn_network.DeepQNetwork Member List
This is the complete list of members for
dqn_network.DeepQNetwork
, including all inherited members.
__init__
(self, list nums_actions, int num_features, learning_rate=0.01, reward_decay=0.9, e_greedy=0.9, replace_target_iter=300, memory_size=500, batch_size=32, e_greedy_increment=None, output_tensorboard=False, load_model_data=False)
dqn_network.DeepQNetwork
_batch_size
dqn_network.DeepQNetwork
private
_build_net
(self)
dqn_network.DeepQNetwork
private
_cost11_his
dqn_network.DeepQNetwork
private
_cost12_his
dqn_network.DeepQNetwork
private
_cost21_his
dqn_network.DeepQNetwork
private
_cost22_his
dqn_network.DeepQNetwork
private
_create_dense
(tf.Tensor input_tensor, list net_size, int start_layer_id, str layer_name, dict w_dir, dict b_dir)
dqn_network.DeepQNetwork
private
static
_epsilon
dqn_network.DeepQNetwork
private
_epsilon_increment
dqn_network.DeepQNetwork
private
_epsilon_max
dqn_network.DeepQNetwork
private
_gamma
dqn_network.DeepQNetwork
private
_learn_step_counter
dqn_network.DeepQNetwork
private
_loss11
dqn_network.DeepQNetwork
private
_loss12
dqn_network.DeepQNetwork
private
_loss21
dqn_network.DeepQNetwork
private
_loss22
dqn_network.DeepQNetwork
private
_lr
dqn_network.DeepQNetwork
private
_memory
dqn_network.DeepQNetwork
private
_memory_counter
dqn_network.DeepQNetwork
private
_memory_size
dqn_network.DeepQNetwork
private
_merged
dqn_network.DeepQNetwork
private
_n_actions
dqn_network.DeepQNetwork
private
_n_features
dqn_network.DeepQNetwork
private
_output_tensorboard
dqn_network.DeepQNetwork
private
_q_eval22
dqn_network.DeepQNetwork
private
_q_next22
dqn_network.DeepQNetwork
private
_q_target11
dqn_network.DeepQNetwork
private
_q_target12
dqn_network.DeepQNetwork
private
_q_target21
dqn_network.DeepQNetwork
private
_q_target22
dqn_network.DeepQNetwork
private
_replace_target_iter
dqn_network.DeepQNetwork
private
_replace_target_op
dqn_network.DeepQNetwork
private
_reward
dqn_network.DeepQNetwork
private
_reward_hit
dqn_network.DeepQNetwork
private
_s
dqn_network.DeepQNetwork
private
_s_
dqn_network.DeepQNetwork
private
_sess
dqn_network.DeepQNetwork
private
_summary_writer
dqn_network.DeepQNetwork
private
_train_op11
dqn_network.DeepQNetwork
private
_train_op12
dqn_network.DeepQNetwork
private
_train_op21
dqn_network.DeepQNetwork
private
_train_op22
dqn_network.DeepQNetwork
private
build_output_net
(self, w_initializer, b_initializer, c_names, l11_8, l12_8, l21_8, l22_8, n_l9)
dqn_network.DeepQNetwork
build_sub_network
(self, w_initializer, b_initializer, c_names, n_l1, n_l2, n_l3, n_l4, n_l5, n_l6, n_l7, n_l8, n_l9)
dqn_network.DeepQNetwork
choose_action
(self, observation)
dqn_network.DeepQNetwork
learn
(self)
dqn_network.DeepQNetwork
load_network
(self, tar_path='/dqnNetModel/')
dqn_network.DeepQNetwork
plot_cost_reward
(self)
dqn_network.DeepQNetwork
save_reward_loss
(self, frequency=100)
dqn_network.DeepQNetwork
store_network
(self, model_name='MyModel', tar_path=os.path.dirname(__file__)+'/dqnNetModel/')
dqn_network.DeepQNetwork
store_transition
(self, observation, action, reward, observation_new)
dqn_network.DeepQNetwork
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