CodeReclaimers / neat-pythonLinks
Python implementation of the NEAT neuroevolution algorithm
☆1,503Updated last year
Alternatives and similar repositories for neat-python
Users that are interested in neat-python are comparing it to the libraries listed below
Sorting:
- ☆560Updated 2 years ago
- Portable NeuroEvolution Library☆332Updated last year
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆109Updated last year
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- Deep Neuroevolution☆1,656Updated last year
- Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.☆162Updated 6 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,600Updated 5 years ago
- Evolution Strategies Tool☆950Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆822Updated 4 years ago
- PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.☆1,051Updated 3 years ago
- A fast Evolution Strategy implementation in Python☆271Updated 5 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,452Updated 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 Python version of the NEAT algorithm (NeuroEvolution of Augmenting Topologies)☆49Updated 3 years ago
- Python implementation of CMA-ES☆1,218Updated last week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,526Updated last year
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆105Updated 3 years ago
- This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.☆613Updated 3 years ago
- Python implementation of the NEAT neuroevolution algorithm☆33Updated 7 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆764Updated last year
- World Models☆461Updated 4 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆796Updated 2 years ago
- A simple chess environment for openai/gym☆162Updated last year
- World Models Experiments☆659Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,323Updated last week
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- Genetic learning algorithm implementation for simulations, games, or general machine learning problems☆50Updated 3 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆774Updated last year
- Minecraft environment for Open AI Gym, based on Microsoft's Malmo.☆282Updated 4 years ago