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An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!

Python 100.00%

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ddpg-ros-keras's Issues

Include launch file

Hi,
Thank you for publishing this project.

I'm a ROS newbie. Could you include a launch file to run this project ?
Or any other command.

Thank you very much,
Regards,

Marcos

It Does not converge at all...

I've executed your code....

with this change (because of the error...)
<<< in Actor and Critic Net. >>>

V = Dense(action_dim, init=lambda shape, name: uniform(shape, scale=3e-3, name=name),activation='linear')(h3)
----> V = Dense(action_dim, init = 'uniform', activation='linear')(h3)

error was this: TypeError: () takes exactly 2 arguments (1 given)

After modifying the code,,, It does not converge at all.........
is it because of the change>???

I have some errors....

In Actor and Critic Networks python code,

I got this error with this code part
V = Dense(action_dim,init=lambda shape, name: uniform(shape, scale=3e-3, name=name),activation='linear')(h3)

TypeError: () takes exactly 2 arguments (1 given)

.... Could you give me solution... please???

I have implemented DDPG with ur_gazebo(ur3) and it worked but,,, it takes too much time to converge... So I want to refer your implementation..

If you want, I can share my implementation.

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