deep-neuroevolution
Deep Neuroevolution (by uber-research)
evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" (by openai)
deep-neuroevolution | evolution-strategies-starter | |
---|---|---|
1 | 3 | |
1,617 | 1,534 | |
0.1% | 0.5% | |
0.0 | 10.0 | |
4 months ago | over 4 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
deep-neuroevolution
Posts with mentions or reviews of deep-neuroevolution.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-04.
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Should I pursue Evolutionary Strategies?
some interesting repositories: https://github.com/uber-research/deep-neuroevolution
evolution-strategies-starter
Posts with mentions or reviews of evolution-strategies-starter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-04.
-
Should I pursue Evolutionary Strategies?
Found relevant code at https://github.com/openai/evolution-strategies-starter + all code implementations here
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Promising options for super-computer scale RL parallelism with very fast environment.
Code for https://arxiv.org/abs/1703.03864 found: https://github.com/openai/evolution-strategies-starter
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[P] A tutorial on evolving network parameters with JAX
Incorrect, but if anyone's curious, that paper's code is here.
What are some alternatives?
When comparing deep-neuroevolution and evolution-strategies-starter you can also consider the following projects:
evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
nn-evolution-jax - Evolving neural network parameters in JAX.
sapai - Super auto pets engine built with reinforment learning training in mind
space_battle - A multi agent re-enforcement learning environment for many on many bot fights between space ships
chess - Program for playing chess in the console against AI or human opponents