Summarizing Strategy Card Game AI Competition

2023-05-19 · Jakub Kowalski, Radosław Miernik

This paper concludes five years of AI competitions based on Legends of Code and Magic (LOCM), a small Collectible Card Game (CCG), designed with the goal of supporting research and algorithm development. The game was used in a number of events, including Community Contests on the CodinGame platform, and Strategy Card Game AI Competition at the IEEE Congress on Evolutionary Computation and IEEE Conference on Games. LOCM has been used in a number of publications related to areas such as game tree search algorithms, neural networks, evaluation functions, and CCG deckbuilding. We present the rules of the game, the history of organized competitions, and a listing of the participant and their approaches, as well as some general advice on organizing AI competitions for the research community. Although the COG 2022 edition was announced to be the last one, the game remains available and can be played using an online leaderboard arena.

📄 PDF Abstract BibTeX arXiv:2305.11814

Code (1)

acatai/Strategy-Card-Game-AI-Competition

Drafting in Collectible Card Games via Reinforcement Learning

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Collectible card games are played by tens of millions of players worldwide. Their intricate rules and diverse cards make them much harder than traditional card games. To win, players must be proficient in two interdepend…

Card Games Deep Reinforcement Learning reinforcement-learning Reinforcement Learning+1

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The Hearthstone AI framework and competition motivates the development of artificial intelligence agents that can play collectible card games. A special feature of those games is the high variety of cards, which can be c…

Card Games

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Decision Making Deep Reinforcement Learning

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