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Simulation-Based Approach to General Game Playing
TLDR
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. Expand
CadiaPlayer: A Simulation-Based General Game Player
TLDR
The aim of general game playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human intervention. Expand
Simulation-Based General Game Playing
TLDR
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. Expand
Learning Simulation Control in General Game-Playing Agents
TLDR
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human intervention. Expand
Simulation Control in General Game Playing Agents
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human intervention. One of the mainExpand
Alpha-Beta Pruning for Games with Simultaneous Moves
TLDR
In this paper we introduce an Alpha-Beta-like sound pruning method for the more general class of "stacked matrix games" that allow for simultaneous moves by both players. Expand
Game-Tree Properties and MCTS Performance
In recent years Monte-Carlo Tree Search (MCTS) has become a popular and effective search method in games, surpassing traditional αβ methods in many domains. The question of why MCTS does better inExpand
CadiaPlayer: Search-Control Techniques
TLDR
We describe the search-control techniques used in the 2010 version of the GGP agent CadiaPlayer and show how they have evolved over the years to become increasingly effective and robust across a wide range of games. Expand
CADIA-Player : a general game playing agent
TLDR
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games well without any human intervention. Expand
Generalized Monte-Carlo Tree Search Extensions for General Game Playing
TLDR
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Expand
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