pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing (by MorvanZhou)
Note
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow. (by NoteDance)
| pytorch-A3C | Note | |
|---|---|---|
| 3 | 48 | |
| 568 | 35 | |
| - | - | |
| 0.0 | 9.9 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch-A3C
Posts with mentions or reviews of pytorch-A3C.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-17.
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Formula to compute loss in A3C
I'm a beginner to RL and I'm trying to understand how the loss function was computed. If it follows a specific formular. I've read the a3c algorithm overview on paper by barto but it seems the implemtation here https://github.com/MorvanZhou/pytorch-A3C/blob/master/discrete_A3C.py is different.
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How to measure the performance of a3c algorithm
I'm new to RL and i just started going through this implementation of a3c https://github.com/MorvanZhou/pytorch-A3C
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Tensorflow vs PyTorch for A3C
For the A3C part, I would appreciate your insights on whether to use Tensorflow or PyTorch to implement the algorithm. This GitHub https://github.com/MorvanZhou/pytorch-A3C tries to explain some things but it still isn't very clear to me which is the best, as I see that many implementations with TensorFlow. So if you have anything to add to help me choose one framework, I would very thankful.
Note
Posts with mentions or reviews of Note.
We have used some of these posts to build our list of alternatives
and similar projects.
- Easily implement parallel training.
- This project allows you to easily implement parallel training with the multiprocessing module.
-
Train neural networks in parallel using Python's multiprocessing module.
https://github.com/NoteDancing/Note This project allows you to train neural network in parallel using Python's multiprocessing module.
- A system for deep learning and reinforcement learning.
- A system for deep learning and reinforcement learning. (r/MachineLearning)
- [P] A system for deep learning and reinforcement learning.
What are some alternatives?
When comparing pytorch-A3C and Note you can also consider the following projects:
salina - a Lightweight library for sequential learning agents, including reinforcement learning
deep-RL-trading - playing idealized trading games with deep reinforcement learning