Python td_prediction_lstm_V3 Examples

Example #1

def generation_start(fileWriter, action_index):
    sess = tf.InteractiveSession()
    if MODEL_TYPE == "v3":
        nn = td_prediction_lstm_V3(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH,
                                   learning_rate)
    elif MODEL_TYPE == "v4":
        nn = td_prediction_lstm_V4(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH,
                                   learning_rate)
    else:
        raise ValueError("MODEL_TYPE error")
    generate(sess, nn, fileWriter, action_index)

Example #2

File: eval_teams.py Project: frmccann/DRL-ice-hockey

def train_start():

    sess = tf.InteractiveSession()
    if MODEL_TYPE == "v3":
        nn = td_prediction_lstm_V3(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH,
                                   learning_rate)
    elif MODEL_TYPE == "v4":
        nn = td_prediction_lstm_V4(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH,
                                   learning_rate)
    else:
        raise ValueError("MODEL_TYPE error")
    dict_object = eval_teams(sess, nn)
    save_obj(dict_object, "team_eval_dict")

Example #3

File: gpu_train.py Project: frmccann/DRL-ice-hockey

def train_start():
    if not os.path.isdir(LOG_DIR):
        os.mkdir(LOG_DIR)
    if not os.path.isdir(SAVED_NETWORK):
        os.mkdir(SAVED_NETWORK)

    sess = tf.InteractiveSession()
    if MODEL_TYPE == "v3":
        nn = td_prediction_lstm_V3(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH, learning_rate)
    elif MODEL_TYPE == "v4":
        nn = td_prediction_lstm_V4(FEATURE_NUMBER, H_SIZE, MAX_TRACE_LENGTH, learning_rate)
    else:
        raise ValueError("MODEL_TYPE error")
    train_network(sess, nn)