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View Code? Open in Web Editor NEWDQN implementation in Keras + TensorFlow + OpenAI Gym
DQN implementation in Keras + TensorFlow + OpenAI Gym
python ddqn.py
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally
Using TensorFlow backend.
[2017-09-21 01:21:23,391] Making new env: Breakout-v0
ddqn.py:90: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(32, (8, 8), strides=(4, 4), activation="relu", input_shape=(4, 84, 84...)
model.add(Convolution2D(32, 8, 8, subsample=(4, 4), activation='relu', input_shape=(STATE_LENGTH, FRAME_WIDTH, FRAME_HEIGHT)))
Traceback (most recent call last):
File "ddqn.py", line 314, in
main()
File "ddqn.py", line 277, in main
agent = Agent(num_actions=env.action_space.n)
File "ddqn.py", line 58, in init
self.s, self.q_values, q_network = self.build_network()
File "ddqn.py", line 90, in build_network
model.add(Convolution2D(32, 8, 8, subsample=(4, 4), activation='relu', input_shape=(STATE_LENGTH, FRAME_WIDTH, FRAME_HEIGHT)))
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/keras/models.py", line 442, in add
layer(x)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/keras/engine/topology.py", line 602, in call
output = self.call(inputs, **kwargs)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/keras/layers/convolutional.py", line 164, in call
dilation_rate=self.dilation_rate)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 3164, in conv2d
data_format='NHWC')
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 640, in convolution
op=op)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 309, in with_space_to_batch
return op(input, num_spatial_dims, padding)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 632, in op
name=name)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/nn_ops.py", line 130, in _non_atrous_convolution
name=name)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 396, in conv2d
data_format=data_format, name=name)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
op_def=op_def)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2242, in create_op
set_shapes_for_outputs(ret)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1617, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1568, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/home/tushar/tensorflow/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 675, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 8 from 4 for 'conv2d_1/convolution' (op: 'Conv2D') with input shapes: [?,4,84,84], [8,8,84,32].
I'm getting this when cloning and running on Python 3.6.1, TensorFlow 1.2.1.
Using TensorFlow backend.
[2017-08-18 00:10:05,170] Making new env: Breakout-v0
dqn.py:90: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(32, (8, 8), activation="relu", input_shape=(4, 84, 84..., strides=(4, 4))`
model.add(Convolution2D(32, 8, 8, subsample=(4, 4), activation='relu', input_shape=(STATE_LENGTH, FRAME_WIDTH, FRAME_HEIGHT)))
Traceback (most recent call last):
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/common_shapes.py", line 671, in _call_cpp_shape_fn_impl
input_tensors_as_shapes, status)
File "/Users/schmatz/anaconda/lib/python3.6/contextlib.py", line 89, in __exit__
next(self.gen)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Negative dimension size caused by subtracting 8 from 4 for 'conv2d_1/convolution' (op: 'Conv2D') with input shapes: [?,4,84,84], [8,8,84,32].
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "dqn.py", line 312, in <module>
main()
File "dqn.py", line 275, in main
agent = Agent(num_actions=env.action_space.n)
File "dqn.py", line 58, in __init__
self.s, self.q_values, q_network = self.build_network()
File "dqn.py", line 90, in build_network
model.add(Convolution2D(32, 8, 8, subsample=(4, 4), activation='relu', input_shape=(STATE_LENGTH, FRAME_WIDTH, FRAME_HEIGHT)))
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/keras/models.py", line 436, in add
layer(x)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/keras/engine/topology.py", line 596, in __call__
output = self.call(inputs, **kwargs)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/keras/layers/convolutional.py", line 164, in call
dilation_rate=self.dilation_rate)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3156, in conv2d
data_format='NHWC')
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 670, in convolution
op=op)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 338, in with_space_to_batch
return op(input, num_spatial_dims, padding)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 662, in op
name=name)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 131, in _non_atrous_convolution
name=name)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 399, in conv2d
data_format=data_format, name=name)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2508, in create_op
set_shapes_for_outputs(ret)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs
shapes = shape_func(op)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/Users/schmatz/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 8 from 4 for 'conv2d_1/convolution' (op: 'Conv2D') with input shapes: [?,4,84,84], [8,8,84,32].
Hi!
Could you please explain why you make error clipping such a way?
`
$ git diff a83c4b3
...
.- # Clip the error term to be between -1 and 1
.- error = y - q_value
.- clipped_error = tf.clip_by_value(error, -1, 1)
.- loss = tf.reduce_mean(tf.square(clipped_error))
.+ # Clip the error, the loss is quadratic when the error is in (-1, 1), and linear outside of that region
.+ error = tf.abs(y - q_value)
.+ quadratic_part = tf.clip_by_value(error, 0.0, 1.0)
.+ linear_part = error - quadratic_part
.+ loss = tf.reduce_mean(0.5 * tf.square(quadratic_part) + linear_part)
`
It seems like good improvement but not like in original paper. What is the benefit?
Thanks!
I can't find the AMI as:
AMI name is DQN-AMI, the ID is ami-c4a969a9, and the region is N. Virginia.
Is there another one?
I'm getting the error, ValueError: Negative dimension size caused by subtracting 8 from 4, when running dqn.py. What could be causing this?
[2016-12-15 00:50:34,381] Making new env: Breakout-v0
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/common_shapes.py", line 594, in call_cpp_shape_fn
status)
File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
next(self.gen)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors.py", line 463, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors.InvalidArgumentError: Negative dimension size caused by subtracting 8 from 4
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "dqn.py", line 312, in <module>
main()
File "dqn.py", line 275, in main
agent = Agent(num_actions=env.action_space.n)
File "dqn.py", line 58, in __init__
self.s, self.q_values, q_network = self.build_network()
File "dqn.py", line 90, in build_network
model.add(Convolution2D(32, 8, 8, subsample=(4, 4), activation='relu', input_shape=(STATE_LENGTH, FRAME_WIDTH, FRAME_HEIGHT)))
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/models.py", line 294, in add
layer.create_input_layer(batch_input_shape, input_dtype)
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/engine/topology.py", line 374, in create_input_layer
self(x)
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/engine/topology.py", line 519, in __call__
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/engine/topology.py", line 573, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/engine/topology.py", line 155, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/layers/convolutional.py", line 465, in call
filter_shape=self.W_shape)
File "/usr/local/lib/python3.5/dist-packages/Keras-1.1.2-py3.5.egg/keras/backend/tensorflow_backend.py", line 1734, in conv2d
x = tf.nn.conv2d(x, kernel, strides, padding=padding)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 394, in conv2d
data_format=data_format, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 749, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2382, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1783, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/common_shapes.py", line 596, in call_cpp_shape_fn
raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 8 from 4
In the mode set up there are three modes:
But it does not do anything different each of the modes. As far as my understanding goes it should take only np.argmax in the exploit mode but I do not think it is doing so.
Please let me know if I am getting this wrong. This is near line 207 - 214.
Thanks
what dose this code mean? I'm a little confused
please help ~
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