simple-es
Simple implementations of multi-agent evolutionary strategies using pytorch. (by jinPrelude)
nes-torch
Minimal PyTorch Library for Natural Evolution Strategies (by goktug97)
| simple-es | nes-torch | |
|---|---|---|
| 1 | 3 | |
| 14 | 17 | |
| - | - | |
| 0.0 | 3.6 | |
| over 2 years ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
simple-es
Posts with mentions or reviews of simple-es.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Multi-agent Evolutionary strategies using PyTorch
There have been many studies that combine RL and ES(evolutionary strategies), and combining these methods and multi-agent reinforcement learning is my current interest. As a one who has only studied RL and has no knowledge of ES, I have created a multi-agent evolutionary strategies project using pytorch, simple-es.
nes-torch
Posts with mentions or reviews of nes-torch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-02.
What are some alternatives?
When comparing simple-es and nes-torch you can also consider the following projects:
pipcs - PIPCS is Python Configuration System
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
de-torch - Minimal PyTorch Library for Differential Evolution