/Reinforcement-Learning-Practice

This repository contains documented code for various environments

Primary LanguageJupyter NotebookMIT LicenseMIT

Implementation of various Deep Reinforcement Learning Algorithms on various environments with Pytorch

This repository contains well documented code for various environments

Environments covered:

  • Classical Algorithms
  • CartPole with DQN
  • Lunar Lander with ActorCritic
  • Simple Spread MultiAgent Environment with MADDPG
  • PyBullet's Continuous space environments like Half-Humanoid, Half-cheetah and Ant with Twin Delayed DDPG
  • Navigate an agent in an unknown environment with DQN
  • Simple Spread MultiAgent Environment with Advantage Actor Critic