Single Agent Renforcement Learning resource finding in grid world representation using Oil field example
This project aims at tackling resource finding specifically Oil location, based on a reinforcement learning approach using Q learning and variants of it.
The following is an example of the 2-D grid world representation.
Everything built using native python libraries like numpy, etc. So no special libraries and envrionments are required.