es_pytorch
neat-python
Our great sponsors
es_pytorch | neat-python | |
---|---|---|
1 | 3 | |
23 | 1,348 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | 9 months ago | |
Python | Python | |
- | BSD 3-clause "New" or "Revised" License |
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.
es_pytorch
-
What is the greatest achievement of Genetic Algorithms[D]?
ES, specifically OpenAI's ES (and to an extent CMA-ES). This has been shown to be very competitive with modern state of the art RL algorithms. A huge benefit of it is that it's incredibly easy to implement (I'm gonna shamelessly plug my implementation if you want to see the inner workings)
neat-python
-
NEAT AI not learning as expected
Could you not create a XOR or other algebraic test ? If you can train it to these simple functions, then the algorithm (your code) works https://github.com/CodeReclaimers/neat-python/blob/master/tests/test_xor_example.py.
-
Unable to run basic example script for python package. help appreciated!
> git clone https://github.com/CodeReclaimers/neat-python.git > pip install graphviz (because I didn't already have this package) > python .\examples\xor\evolve-feedforward.py
-
Bug or intentional: neat-python implementation vs the original NEAT paper
I've been working on my own NEAT implementation to better understand the algorithm and I noticed a difference in implementation between what the paper lays out and the neat-python implementation found here.
What are some alternatives?
muzero-general - MuZero
super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TheAlgorithms - All Algorithms implemented in Python