Skip to content

Ellezique/Python-workshop-tasks-W3-Deep-Q-Learning

Repository files navigation

DRL workshop tasks Materials Cartpole code walkthrough Deeplizard’s playlist for reinforcement learning
Deeplizard’s playlist for PyTorch Deeplizard’s playlist for Keras

https://www.youtube.com/watch?v=PyQNfsGUnQA&list=PLZbbT5o_s2xoWNVdDudn51XM8lOuZ_Njv&index=17

https://www.youtube.com/playlist?list=PLZbbT5o_s2xoWNVdDudn51XM8lOuZ_Njv

Tasks

  1. Cart pole a. What happens if we change network composition? b. How do other parameters affect the number of episodes it takes to reach the goal?
  2. MountainCar
  3. Breakout Bonus tasks
  4. Frozen lake (now with DQN!)
  5. Random frozen lake (now with DQN!)
  6. Your favourite Atari game (using image as an input)!

About

Deep Q Learning

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published