Kerlym failing using Tensorflow

[ethene]

any examples and even just simply running kerlym gives an error as below:

kerlym
Using TensorFlow backend.
dqn
<function simple_dnn at 0x7f9cb7310500>
1e-06
[2017-02-25 13:10:08,625] Making new env: Pong-v0
201600 [2, 210, 160, 3]
Traceback (most recent call last):
File "/usr/local/bin/kerlym", line 4, in
import('pkg_resources').run_script('KeRLym==0.0.2', 'kerlym')
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/init.py", line 738, in run_script
self.require(requires)[0].run_script(script_name, ns)
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/init.py", line 1506, in run_script
exec(script_code, namespace, namespace)
File "/usr/local/lib/python2.7/dist-packages/KeRLym-0.0.2-py2.7.egg/EGG-INFO/scripts/kerlym", line 77, in

File "build/bdist.linux-x86_64/egg/kerlym/dqn/dqn.py", line 117, in train
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 766, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 964, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1014, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1034, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value dense_3_b
[[Node: dense_3_b/read = IdentityT=DT_FLOAT, _class=["loc:@dense_3_b"], _device="/job:localhost/replica:0/task:0/cpu:0"]]

Caused by op u'dense_3_b/read', defined at:
File "/usr/local/bin/kerlym", line 4, in
import('pkg_resources').run_script('KeRLym==0.0.2', 'kerlym')
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/init.py", line 738, in run_script
self.require(requires)[0].run_script(script_name, ns)
File "/usr/local/lib/python2.7/dist-packages/pkg_resources/init.py", line 1506, in run_script
exec(script_code, namespace, namespace)
File "/usr/local/lib/python2.7/dist-packages/KeRLym-0.0.2-py2.7.egg/EGG-INFO/scripts/kerlym", line 75, in
File "build/bdist.linux-x86_64/egg/kerlym/dqn/dqn.py", line 77, in init
self.setup_graphs()
File "build/bdist.linux-x86_64/egg/kerlym/dqn/dqn.py", line 83, in setup_graphs
s, q_network = self.model_factory(self, self.env[0], **self.kwargs)
File "build/bdist.linux-x86_64/egg/kerlym/dqn/networks.py", line 23, in simple_dnn
V = Dense(env.action_space.n, activation='linear',init='zero')(h)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 546, in call
self.build(input_shapes[0])
File "/usr/local/lib/python2.7/dist-packages/keras/layers/core.py", line 804, in build
constraint=self.b_constraint)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 418, in add_weight
weight = initializer(shape, name=name)
File "/usr/local/lib/python2.7/dist-packages/keras/initializations.py", line 112, in zero
return K.zeros(shape, name=name)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 492, in zeros
dtype, name)
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 259, in variable
v = tf.Variable(value, dtype=_convert_string_dtype(dtype), name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.py", line 224, in init
expected_shape=expected_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.py", line 370, in _init_from_args
self._snapshot = array_ops.identity(self._variable, name="read")
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1424, in identity
result = _op_def_lib.apply_op("Identity", input=input, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2240, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1128, in init
self._traceback = _extract_stack()

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value dense_3_b
[[Node: dense_3_b/read = IdentityT=DT_FLOAT, _class=["loc:@dense_3_b"], _device="/job:localhost/replica:0/task:0/cpu:0"]]

[ethene]

on Ubuntu:

appdirs (1.4.0)
atari-py (0.0.18)
backports.ssl-match-hostname (3.5.0.1)
box2d-py (2.3.1)
coloredlogs (5.2)
cycler (0.10.0)
funcsigs (1.0.2)
functools32 (3.2.3.post2)
gevent (1.2.1)
graphviz (0.5.2)
greenlet (0.4.11)
gym (0.7.3)
h5py (2.6.0)
hanging-threads (2.0.3)
humanfriendly (2.3.2)
imageio (2.1.2)
johansen (0.0.4)
Keras (1.2.2)
KeRLym (0.0.2)
matplotlib (2.0.0)
mock (2.0.0)
monotonic (1.2)
mujoco-py (0.5.7)
mysql-connector-python (2.1.5)
mysqlclient (1.3.7)
numpy (1.12.0)
olefile (0.44)
pachi-py (0.0.21)
packaging (16.8)
pandas (0.19.2)
pandas-datareader (0.3.0.post0)
patsy (0.4.1)
pbr (1.10.0)
Pillow (4.0.0)
pip (9.0.1)
poster (0.8.1)
protobuf (3.2.0)
pubnub (3.9.0)
pycryptodomex (3.4.3)
pydot (1.0.29)
pyglet (1.2.4)
pykalman (0.9.5)
PyOpenGL (3.1.0)
pyparsing (2.1.10)
python-apt (1.1.0b1)
python-augeas (0.5.0)
python-dateutil (2.6.0)
pytz (2016.10)
PyYAML (3.12)
qlearning4k (0.0.1)
requests (2.13.0)
requests-file (1.4.1)
requests-ftp (0.3.1)
scikit-learn (0.18.1)
scipy (0.18.1)
setuptools (34.2.0)
six (1.10.0)
sklearn (0.0)
socketIO-client (0.7.2)
SQLAlchemy (1.1.5)
statsmodels (0.6.1)
subprocess32 (3.2.7)
tensorflow (0.12.1)
Theano (0.8.2)
Unirest (1.1.7)
websocket-client (0.40.0)
wheel (0.29.0)