Solving OpenAI Gym problems.
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Updated
Jan 12, 2021 - Python
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
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.
Simple PyTorch implementation of Deep Q-learning Algorithm to play Lunar Lander.
A fork of the Python PDP-8 emulator with added blinkenlights and teletype sounds. Needs PyGame.
Solving openAI's game 'Lunar-Lander' with Deep Reinforcement Learning
Repository of the final project for CS221: Autonomous Landing
My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.
OpenGL lunar lander simulation game
A Reinforcement Learning course with classic examples of agents trained on gym environments.
A simulator for the CodinGame puzzle Mars Lander
Modified LunarLander with Mixed Action Space
Comparison of performance of different reinforcement learning algorithms applied to the lunar lander problem
Using a deep Q-learning network and searching for optimal hyperparameters in order to solve the lunar lander problem provided by OpenAI Gym.
Finding target for the Lander using Deep Learning but from scratch not already built-in libraries.
Deep Q Learning (DQN) neural net to optimize a lunar lander control policy using OpenAI Gym environment.
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