Continuous Lunar Lander Final Agent

Summary

Deep Double Q Network (DDQN) - Reinforcement Learning (RL) Simulated rocket ship learns to land by trial and error. The The code can be viewed on GitHub: github.com/ZBC043/CM30359-2022-CW. An interactive dashboard designed to ease the analysis of reinforcement learning environments. This dashboard offers a ... Github Repo: IgorComune/reinforcement_learning_lunar_lander_v3. In this video, I walk through three versions of my Deep Q-Network (DQN) GitHub Repository: [Add your link here] Reinforcement Learning DQN AI Timecodes: 0:00 Introduction 0:25 Code overview 1:08 Solution explanation 5:52 Conclusion.