TypeError: x and y must have the same dtype, got tf.float32 != tf.float64

I got the error when running the code of https://github.com/tensorflow/models/tree/master/research/efficient-hrl
on ubuntu 18.04 python 3.6 tensorflow 1.15 and other requirements at latest version.

When running
python scripts/local_train.py test1 hiro_orig ant_maze base_uvf suite

I got the following errors:

Traceback (most recent call last):
  File "./run_train.py", line 49, in <module>
    tf.app.run()
    …
  File "/root/anaconda3/envs/hrl/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py", line 997, in _truediv_python3
    (x_dtype, y_dtype))
TypeError: x and y must have the same dtype, got tf.float32 != tf.float64
  In call to configurable 'train_uvf' (<function train_uvf at 0x7f0b2e5ef320>)