deep-neuroevolution VS es_pytorch

Compare deep-neuroevolution vs es_pytorch and see what are their differences.

deep-neuroevolution

Deep Neuroevolution (by uber-research)
deep-neuroevolution AI Machine Learning reinforcement-learning
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es_pytorch

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters (by sash-a)
evolutionary-strategy reinforcement-learning Gym deep-neuroevolution Pytorch neuroevolution Mpi mpi4py AI
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deep-neuroevolution es_pytorch
1 1
1,617 23
0.1% -
0.0 0.0
4 months ago over 2 years ago
Python Python
GNU General Public License v3.0 or later -
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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.

es_pytorch

Posts with mentions or reviews of es_pytorch. We have used some of these posts to build our list of alternatives and similar projects.
  • What is the greatest achievement of Genetic Algorithms[D]?
    1 project | /r/MachineLearning | 29 Dec 2020
    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)

What are some alternatives?

When comparing deep-neuroevolution and es_pytorch you can also consider the following projects:

evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

muzero-general - MuZero

sapai - Super auto pets engine built with reinforment learning training in mind

pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.

chess - Program for playing chess in the console against AI or human opponents

neat-python - Python implementation of the NEAT neuroevolution algorithm

evolution-strategies-starter - Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

deep-neuroevolution vs evotorch es_pytorch vs muzero-general deep-neuroevolution vs sapai es_pytorch vs pureples deep-neuroevolution vs chess es_pytorch vs neat-python deep-neuroevolution vs evolution-strategies-starter es_pytorch vs policy-adaptation-during-deployment es_pytorch vs Super-mario-bros-PPO-pytorch