awesome-deep-neuroevolution
github.com/alro10/awesome-deep-neuroevolution ↗A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
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200
Curated Resources
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23 hours ago
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Installation instructions →What's inside
Papers
- A Brain-Inspired Framework for Evolutionary Artificial General Intelligence
Mohammad Nadji-Tehrani, et al.
- Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems
Alexis Asseman, et al.
- Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Jiaxin Zhang, et al.
- A Comparison of Evolutionary and Tree-Based Approaches for Game Feature Validation in RealTime Strategy Games with a Novel Metric
Damijan Novak, et al.
- Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition
Xiaodong Cui, Michael Picheny (IBM Research)
- A CROSS-DATA SET EVALUATION OF GENETICALLY EVOLVED NEURAL NETWORK ARCHITECTURES
Ben Gelman
Resources
- EvoGrad: A Lightweight Library for Gradient-Based Evolution
- Nevergrad - A gradient-free optimization platform
A gradient-free optimization platform
- POET
Tutorials
Showing a sample of 200 resources. View the full list on GitHub →