yash-srivastava19 / NEAT-JAX
An implementation of Neuroevolution of Augmented Topologies Algorithm compatible with EvoJAX. Made to play Neural Slime Volleyball
☆17Updated last year
Alternatives and similar repositories for NEAT-JAX:
Users that are interested in NEAT-JAX are comparing it to the libraries listed below
- map elites python reference implementation☆82Updated last year
- Neuroevolution Benchmark in JAX 🦕☆38Updated last year
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆50Updated 4 years ago
- ☆78Updated 6 months ago
- ☆39Updated 3 years ago
- ☆51Updated 2 years ago
- Classic MCTS example with mctx☆18Updated last year
- Repository for "Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity" (ALIFE 2024).☆22Updated last month
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Accelerated Quality-Diversity☆290Updated last week
- OpenAI gym environment for evolving morphologies of 2D virtual creatures.☆33Updated last year
- A collection of papers on divergence and quality diversity☆76Updated 2 years ago
- Monte Carlo tree search in JAX, with functionality to continue search from a previous subtree☆19Updated last week
- Baselines for gymnax 🤖☆66Updated 2 years ago
- ☆20Updated 5 years ago
- An Open-Ended Agentic Simulator☆48Updated 8 months ago
- Evolution Strategies in JAX 🦎☆607Updated last month
- A bare-bones Python library for quality diversity optimization.☆218Updated last week
- Website for Quality-Diversity optimisation algorithms☆43Updated last month
- A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer (https://arxi…☆71Updated 4 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆31Updated 3 years ago
- fast + parallel AlphaZero in JAX☆96Updated 4 months ago
- A Python interface for Minecraft built on gRPC☆124Updated 2 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
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- ☆77Updated last month
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆64Updated last year
- Code for the paper "Functional Regularization for Reinforcement Learning via Learned Fourier Features"☆17Updated 2 years ago
- General Modules for JAX☆64Updated last month