robertjankowski / ga-openai-gym
Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.
☆38Updated 4 years ago
Alternatives and similar repositories for ga-openai-gym
Users that are interested in ga-openai-gym are comparing it to the libraries listed below
Sorting:
- Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.☆117Updated last year
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆107Updated 9 months ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- A simple chess environment for openai/gym☆159Updated last year
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- A structured implementation of MuZero☆204Updated 2 years ago
- ☆72Updated 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
- deep-reinforcement-learning☆16Updated 6 years ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- A fast Evolution Strategy implementation in Python☆274Updated 5 years ago
- Solving the Rubik's cube with deep reinforcement learning and Monte Carlo tree search☆101Updated 6 years ago
- Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization☆50Updated 4 years ago
- A simple stochastic OpenAI environment for training RL agents☆89Updated 2 years ago
- An implementation of CoDeepNEAT using pytorch with extensions☆31Updated 4 years ago
- A web based platform for collecting human actions in reinforcement learning environments☆28Updated last year
- A collection of Gymnasium compatible games for reinforcement learning.☆78Updated last year
- A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)☆223Updated 4 years ago
- Neuro-evolution for OpenAI Gym environments☆56Updated 4 years ago
- Modular framework for Reinforcement Learning in python☆172Updated 2 years ago
- A grid-world game engine for game AI research☆239Updated last year
- Fully differentiable RL environments, written in Ivy.☆65Updated last year
- 💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.☆56Updated 6 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆21Updated last year
- A simple implementation of MuZero algorithm for connect4 game☆97Updated 4 years ago
- A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each othe…☆158Updated 4 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.☆40Updated 4 years ago