We present a new general board game (GBG) playing and learning framework. GBG defines
the common interfaces for board games, game states and their AI agents. It allows one to run …

2048 is an engaging single-player nondeterministic video puzzle game, which, thanks to the
simple rules and hard-tomaster gameplay, has gained massive popularity in recent years …

Szubert and Jaśkowski successfully used temporal difference (TD) learning together with n-
tuple networks for playing the game 2048. However, we observed a phenomenon that the …

The learning rate is the most crucial hyper-parameter of a neural network that has a
significant impact on its performance. In this article, a novel learning rate setting idea termed …

arxiv:2202.09701v1 [cs.LG] 20 Feb 2022 A History of Meta-gradient: Gradient Methods for
Meta-learning Page 1 arxiv:2202.09701v1 [cs.LG] 20 Feb 2022 A History of Meta-gradient …

More than six decades after the term Artificial Intelligence was coined by John McCarthy to
describe intelligent behavior displayed by machines, finally the technology enabled world …

Recently, the seminal algorithms AlphaGo and AlphaZero have started a new era in game
learning and deep reinforcement learning. While the achievements of AlphaGo and …

Systems that learn to play board games are often trained by self-play on the basis of
temporal difference (TD) learning. Successful examples include Tesauro's well known TD …

This technical report shows how the ideas of reinforcement learning (RL) and temporal
difference (TD) learning can be applied to board games. This report collects the main ideas …

Abstract Machine learning tasks for board games which rely solely on self-play methods
remain rather challenging up till today. The perhaps most impressive breakthrough in this …