vfcosta / coeganLinks
Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org
☆14Updated 2 years ago
Alternatives and similar repositories for coegan
Users that are interested in coegan are comparing it to the libraries listed below
Sorting:
- Convolutional Genetic Programming method for image classification☆14Updated 6 years ago
- Neural Network Genetic Algorithm library used for deep learning problems☆18Updated 4 years ago
- Multi-Agent Systems Course 2017 - MSc Artificial Intelligence @ UvA☆18Updated 8 years ago
- Co-evolution of agents and environments in GVG-AI☆17Updated 4 years ago
- DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It a…☆10Updated 5 years ago
- Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬☆17Updated 2 years ago
- Case-Study on Reinforcement Learning for Intralogistics☆12Updated 4 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
- Augmented environments with RL☆103Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆173Updated 4 years ago
- A python implementation of Tangled Program Graphs. A Reinforcement Learning Algorithm.☆20Updated 4 years ago
- An implementation of the Augmented Random Search algorithm☆427Updated 4 years ago
- A Python implementation of the "CoSyne" algorithim, as described in this paper: https://pdfs.semanticscholar.org/966e/41903b4aff42601a188…☆25Updated 7 years ago
- MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆13Updated 4 years ago
- Programmatically Interpretable Reinforcement Learning☆22Updated 4 years ago
- Tensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆25Updated 8 years ago
- Single Player Monte Carlo Tree Search implementation☆18Updated 6 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 7 years ago
- PPO Dash: Improving Generalization in Deep Reinforcement Learning☆16Updated 6 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- A reinforcement learning framework☆157Updated 7 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆259Updated 3 years ago
- Velocity in deep-learning research☆279Updated 3 years ago
- A 150-lines python code for Augmented Random Search (https://arxiv.org/abs/1803.07055) with numpy.☆71Updated 7 years ago
- This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 5 years ago
- A PyTorch implementation of deep Q-learning for Atari games☆13Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆142Updated 6 years ago