Reinforcement Learning Introduction
This weeks coding challenge is to use Monte Carlo Prediction to help a bot navigate an RL world. Use this as a guide and use OpenAI's gym environment. Bonus points for good documentation, good luck!
This is the code for this video on Youtube by Siraj Raval as part of the "Introduction to AI for Video Games" series. We're going to compare and contrast policy and value iteration algorithms. Both are a type of dynamic programming.
- numpy
- openAI's gym https://github.com/openai/gym
Just run 'python frozen_lake.py' in terminal
Credits for this code go to root-ua. I've merely created a wrapper to get people started.