TensorFlow2.0-for-Deep-Reinforcement-Learning VS deepdrive

Compare TensorFlow2.0-for-Deep-Reinforcement-Learning vs deepdrive and see what are their differences.

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TensorFlow2.0-for-Deep-Reinforcement-Learning deepdrive
1 1
81 873
- 0.2%
0.0 0.0
8 months ago 7 months ago
Python Python
- GNU General Public License v3.0 or later
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TensorFlow2.0-for-Deep-Reinforcement-Learning

Posts with mentions or reviews of TensorFlow2.0-for-Deep-Reinforcement-Learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-15.
  • Beginner attempting to implement Noisy DQN
    3 projects | /r/reinforcementlearning | 15 Jan 2021
    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.

deepdrive

Posts with mentions or reviews of deepdrive. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.
  • Is it possible to train a self driving car on google colab?
    4 projects | /r/reinforcementlearning | 1 Sep 2021
    I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.