Intro In this post we report success in using reinforcement to learn the game of nim. We had previously cited two theses (ERIK JÄRLEBERG (2011) and PAUL GRAHAM & WILLIAM LORD (2015)) that used Q-learning to learn the game of nim. However, in this setting, the scaling issues with Q-learning are much more …
There are entire theses devoted to reinforcement learning of the game of nim, in particular those of ERIK JÄRLEBERG (2011) and PAUL GRAHAM & WILLIAM LORD (2015). Those two were successful in training a reinforcement-based agent to play the game of nim with a high percentage of accurate moves. However, they used lookup tables …
This post reports on the creation of a python package for the game of nim. The package contains a function that finds the perfect move in a given position and informs on whether the position is winning. In the package we make use of Charles Leonard Bouton’s solution of the …
This post starts a mini series of two posts in which we want to solve the Game of Nim using Reinforcement learning. The first part of this mini series is devoted to having a look at using our own Nim-specific custom environment for OpenAI. The Game of Nim is a …