Hellisotherpeople / Python-Cooperative-Synapse-NeuroEvolution
A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188bd7b26d71ef120d11.pdf
☆25Updated 6 years ago
Alternatives and similar repositories for Python-Cooperative-Synapse-NeuroEvolution:
Users that are interested in Python-Cooperative-Synapse-NeuroEvolution are comparing it to the libraries listed below
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆116Updated last year
- ☆20Updated 5 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆50Updated 4 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- map elites python reference implementation☆82Updated last year
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago
- Website for Quality-Diversity optimisation algorithms☆43Updated last month
- ☆182Updated 9 months ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- A collection of papers on divergence and quality diversity☆76Updated 2 years ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆26Updated 3 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆72Updated 3 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- Neuroevolution Benchmark in JAX 🦕☆38Updated last year
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆137Updated 3 years ago
- An implementation of CoDeepNEAT using pytorch with extensions☆31Updated 3 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆31Updated 3 years ago
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies☆28Updated 2 years ago
- ☆51Updated 2 years ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆106Updated 9 months ago
- Collection of in-progress libraries for entity neural networks.☆29Updated 2 years ago
- An attempt to reimplement the 2013 paper by Wissner-Gross & Freer☆10Updated 4 months ago
- Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.☆12Updated 8 years ago
- Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.☆24Updated 2 years ago
- The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge☆59Updated 2 years ago
- OpenAI's cartpole env solver.☆18Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago