An implementation of the neuroevolution algorithm NEAT
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Updated
Apr 20, 2017 - Python
An implementation of the neuroevolution algorithm NEAT
A solution for the MountainCar-v0 problem of the Gym environment
This is a simple OpenAI Gym-compatible environment to test RL agent's memory.
Teaching a neural network how to write letters and digits with reinforcement learning.
OpenAI Gym compatible environment for Reinforcement Learning on the Muller Brown potential energy surface
Flappy Bird OpenAI Gym environment
Gambler's problem environment implemented OpenAI gym-style
Maze environment for DRL generalization studies
Gym is a toolkit for developing and comparing reinforcement learning algorithms.
This project used the openai gym environment to train a neural network for playing openai games
OpenAI Gym environment wrapper for the Platform game.
TicTacToe trained using OpenAI
An OpenAI gym environment designed for the control of dynamical systems
Remember the sad Marvin from "Hitchhiker's guide to the galaxy"? In this project we train him to walk from the scratch using only pure python with numpy!
Custom environment for OpenAI gym
A Deep Reinforcement Learning Framework (simulation) with OpenAI-Gym and PyBullet Environment for the 7-DOF manipulator downscale version from Robotory - SKKU
🚗💥 DQNAgent on the Gym OpenAI Higway environment to make a car drive on a highway
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
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