namlehai's repositories
gym-super-mario-bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
ml-agents
Unity Machine Learning Agents Toolkit
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
conversation_dynamics
SFI Complex System Summer School project
Converstation-Dynamics
Santa Fe CSSS18 Group Project on Converstation Dynamics
neataptic
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
models
Models and examples built with TensorFlow
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
pycolab
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
dose
Digital Organism Simulation Environment (DOSE)
GeneticAlgorithmsWithPython
source code from the book Genetic Algorithms with Python by Clinton Sheppard
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
seeds
Stochastic Cellular Artificial Life Simulator
evostra
A fast Evolution Strategy implementation in Python
Evolutionary-Algorithm
Evolutionary Algorithm using Python
irl-imitation
Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
HebbianLearning
Pytorch implementation of Bottom-up Deep Learning using the Hebbian Principle (Wadhwa & Madhow)
neural-network-genetic-algorithm
Evolving a neural network with a genetic algorithm.
DeepEvolve
Rapid hyperparameter discovery for neural nets using genetic algorithms
ml-in-tf
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
intelligent-control-techniques-for-robots
An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulators.
multiagent-competition
Repository for competitive multi-agent environments
Applying_EANNs
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
reinforcement-learning-car
Using reinforcement learning to teach a car to avoid obstacles.
CritterEvolution
This is an evolutionary game where the brains of critters get smarter over time. The critters live, mate, eat, hunt, scavenge, sleep, and die.
hebbianCNN
Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)
PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.