This is the GitHub home of Race Into Space, the computer version of the Liftoff! board game by Fritz Bronner. It was developed by Strategic Visions and published by Interplay as a disk-based game in 1993 and a CD-ROM in 1994. It was open-sourced in 2005 and a number of improvements have been made over the original.

Solving OpenAI Gym problems.

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies

An AI agent that use Double Deep Q-learning to teach itself to land a Lunar Lander on OpenAI universe

Dr. Jim Storer's 1969 Lunar Lander program in ANSI BASIC and modern Fortran 2008

A game made during courses at the IT department of the university of Nantes. Based on Lunar Lander from 1979. Artificial intelligence solving the game, and random terrain generation.

JavaScript arcade game inspired by Lunar Lander

Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️

A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments

Lunar Lander - Teamwork

Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.

RECODING OF JIM STORER'S LUNAR LANDING GAME FROM 1969.

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

Inspired by "Lunar lander" game, based on vector physics.

My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.

Lunar Lander by Meyer A. Billmers

An implementation of Double Deep Q-Network (DDQN) to solve the game Lunar Lander.

Port of classic text-based lunar lander game to C