es_pytorch
deep-neuroevolution
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es_pytorch | deep-neuroevolution | |
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1 | 1 | |
23 | 1,616 | |
- | 0.3% | |
0.0 | 0.0 | |
over 2 years ago | 4 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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es_pytorch
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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)
deep-neuroevolution
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Should I pursue Evolutionary Strategies?
some interesting repositories: https://github.com/uber-research/deep-neuroevolution
What are some alternatives?
muzero-general - MuZero
evotorch - Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
sapai - Super auto pets engine built with reinforment learning training in mind
neat-python - Python implementation of the NEAT neuroevolution algorithm
chess - Program for playing chess in the console against AI or human opponents
policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
evolution-strategies-starter - Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros