reinforcement-learning-cheat-sheet

As part of my master thesis in reinforcement learning, I am gradually putting most of the basic notations all the way to the popular state-of-art methods in one place. Any suggestion or contribution is welcome :

Download

To download the complete cheat sheet in the pdf format, please click here

To Do

• Basic notations
• Problem setup
• Policy gradient methods
• Policy gradient vs Value-based
• TD
• SARSA
• On-policy vs off-policy
• Model-based vs Model-free
• Dynamic programming
• DQN
• Double DQN
• Priority replay
• A3C
• Distributed DQN
• Noisy DQN
• Recurrent DQN
• Dueling Arch
• Experience replay

References

This cheat sheet is written based on:

• Reinforcement Learning: An Introduction