Q Learning for Maze solving!

Spring 2023 TAs: Keaton Kraiger & Shimian Zhang

     .       .         
     \`-"'"-'/
      } 6 6 {       
     =.  Y  ,=   Welcome to PRML Project 4, Q Learning!
   (""-'***`-"")  
    `-/     \-'            
     (  )-(  )===' 
      ""   ""

You will find readme's for the classical and deep q-learning implementations in the respective folders.

We recommmend starting with the classical method and following its instructions to setup your environment.

Good luck!