Popular GitHub Repositories for Lunarlander V2

OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)

Implement RL algorithms in PyTorch and test on Gym environments.

RL with OpenAI Gym

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

Experiment 1: Comparison of key bandit algorithms; Experiment 2: Comparison of Q and SARSA Learning on Taxiv3 environment' ; Experiment 3: Comparison of Q, SARSA and CEM Learning on LunarLanderv2 Environment

This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.

This repository contains a re-implementation of the Proximal Policy Optimization (PPO) algorithm, originally sourced from Stable-Baselines3.

Deep Q-Learning algorithms to solve LunarLander-v2.

Deep RL for OpenAI's Gym environments.