Beginner attempting to implement Noisy DQN

• Deep-Reinforcement-Learning-Hands-On

  2 2,746 0.0 Python

  Hands-on Deep Reinforcement Learning, published by Packt

  

https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On/blob/baa9d013596ea8ea8ed6826b9de6679d98b897ca/Chapter07/lib/dqn_model.py#L9

• TensorFlow2.0-for-Deep-Reinforcement-Learning

  1 81 0.0 Python

  TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

I forgot to say that I'm using tensorflow, nevertheless I managed to find a git implementation for tensorflow 2 of the noisy dense layer (https://github.com/Huixxi/TensorFlow2.0-for-Deep-Reinforcement-Learning/blob/master/07_noisynet.py) and tried to adapt it to my needs.

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• chainerrl

  3 1,155 0.0 Python

  ChainerRL is a deep reinforcement learning library built on top of Chainer.

  

I tried all the versions I found and in most of them the network couldn't even learn to set the sigma as 0 (or close). The only implementation where I actually got improvement was by changing the noise directly when calling the noisy layers in this git. I don't know if this is the correct way but it sure showed good results.

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