CodeReclaimers / neat-pythonLinks
Python implementation of the NEAT neuroevolution algorithm
☆1,527Updated last month
Alternatives and similar repositories for neat-python
Users that are interested in neat-python are comparing it to the libraries listed below
Sorting:
- Portable NeuroEvolution Library☆333Updated last year
- ☆563Updated 3 years ago
- Deep Neuroevolution☆1,662Updated 2 years ago
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆118Updated 2 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆122Updated 2 years ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆114Updated last year
- Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.☆162Updated 7 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,620Updated 6 years ago
- Evolution Strategies Tool☆957Updated 3 years ago
- A simple chess environment for openai/gym☆164Updated last year
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,387Updated 2 weeks ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,468Updated 3 years ago
- A fast Evolution Strategy implementation in Python☆271Updated 5 years ago
- Gym - 32 levels of original Super Mario Bros☆291Updated 7 years ago
- A Python version of the NEAT algorithm (NeuroEvolution of Augmenting Topologies)☆49Updated 3 years ago
- Evolving a neural network with a genetic algorithm.☆705Updated 7 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,327Updated this week
- Deep Reinforcement Learning for Keras.☆5,558Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆830Updated 4 years ago
- A replica of the AlphaZero methodology for deep reinforcement learning in Python☆2,033Updated 3 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Updated last year
- This program evolves an AI using the NEAT algorithm to play Super Mario Bros.☆105Updated 3 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,313Updated 5 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,038Updated 2 years ago
- Kenneth Stanley's NEAT code reorganized (tidier?)☆98Updated 5 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,202Updated 4 years ago
- A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…☆76Updated 3 years ago
- A starter agent that can solve a number of universe environments.☆1,106Updated 7 years ago
- PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.☆1,056Updated 3 years ago