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

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

Apply Double Dueling DQN

Implementation of a DQN for the Lunar Lander env

Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN

Reinforcement Learning code applied to the Lunar Lander problem using MATLAB

No description available

DQN and variants SAC and PPO for the Lunar Lander Continuous environment by OpenAI

Implementation of three state-of-the-art RL algorithms: DQN, DDPG and PPO to solve the Lunar Lander problem.

We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.

Optimized Lunar Lander Algorithm using DQN

solving openAI's gym lunar lander environment using DQN

Lunar Lander envitoment of gymnasium solved using DQN and D3QN

DQN Solution for LunarLander-v3 (Gymnasium) | Reinforcement learning agent using Deep Q-Network (DQN) to land a lunar module safely. Implements experience replay, target networks, and training visualization. This project serves as a hands-on reinforcement learning experiment for solving continuous control tasks using deep Q-learning.

This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym

Solving Lunar Lander using deep reinforcement learning (D)DQN

Apply Double Deep Q Learning

IIT Hyd CS5500 - Reinforcement Learning - RL Algorithms like DQN, Policy Gradients, DDPG on games like Mountain Car , Pong, Lunar Lander etc

Implementation of a Deep Reinforcement Learning agent (Deep Q-Network) for landing successfully the ‘Lunar Lander’ from the OpenAI Gym.

Pytorch implementation of DQN on openai's lunar lander environment

In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.

LunarLander-v2 learning how to land efficiently using DQN and DDQN for training

Apply Dueling DQN

An implementation of Rainbow DQN on OpenAi's Lunar Lander Environment

The Lunar Lander v2 environment is learnt using Deep Q Learning in Pytorch

No description available

Lunar Lander v3 implementation using DQN

Lunar Lander v2 trained using Deep Q Learning...

RL : DQN-LunarLander-v2

Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2