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.
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!
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
A PettingZoo AECEnv implementation of the board game Fanorona
TicTacToe trained using OpenAI
OpenAI gym environment for the Neyboy Challenge HTML5 game
Frogger game implemented in Python with interfaces to PLE and OpenAI Gym
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