RL

---

Reinforcement Learning Examples

In each file, there are both jupyter note book and its corresponding python file. Where in the note book records all the intermediate process and plots, in the python file is the compiled process you can run directly.

Grid World

• Determnistic Grid World with Value Iteration

• Non-Deterministic Grid World with Q-Learning

Tic Tac Toe

• Tic-Tac-Toe Python Implementation

Muilti-Arm Bandit

• Muilti-Arm Bandit Implementation

Blakjack

• Monte Carlo Simulation on Blackjack

• Blackjack Solution

Cliff Walking

• Cliff Walking Implementation

Random Walk(n-step TD method)

• Random Walk Implementation

DynaMaze

• DynaMaze Implementation
• DynaMaze Extensions Implementation

Random Walk(General)

• 1000-State Random Walk