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Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO! 它在离散动作空间领域有着与连续动作空间一样的出色表现。

  • Updated Nov 9, 2024
  • Python

This repo combines Proximal Policy Optimization (PPO) with a geometric linear velocity control for path-following and collision avoidance in 3D environments. A Variational Autoencoder (VAE) compresses high-dimensional depth image inputs from the drone's depth camera, the sole exteroceptive sensor. Digital Twins (DT) test the sim2real readiness.

  • Updated Oct 31, 2024
  • Jupyter Notebook

Not interactive deep reinforcement learning book with no-framework code, copied math, no discussions. Adopted at only -1 university(Shanhe University, SHU). BTW, I like this virtual university, which english abbreviation happens to be the pinyin of one part of my Chinese name(Cai "Shu"qi).

  • Updated Aug 13, 2024
  • Jupyter Notebook

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