Card Games

18 papers with code • 0 benchmarks • 1 datasets

Card games involve playing cards: the task is to train an agent to play the game with specified rules and beat other players.

Most implemented papers

Analysis of Evolutionary Program Synthesis for Card Games

simpleParadox/CMPUT-659-Project 8 Jan 2021

We report the results by providing a comprehensive analysis of the set of rules and their implications.

Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking

Tibert97/Predicting-Human-Card-Selection-in-Magic-The-Gathering-with-Contextual-Preference-Ranking 25 May 2021

Drafting, i. e., the selection of a subset of items from a larger candidate set, is a key element of many games and related problems.

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

kwai/DouZero 11 Jun 2021

Games are abstractions of the real world, where artificial agents learn to compete and cooperate with other agents.

PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games

martinballa/pytag 19 Jul 2023

To bridge this gap, we introduce PyTAG, a Python API for interacting with the Tabletop Games framework (TAG).

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4

cr-gjx/suspicion-agent 29 Sep 2023

Unlike perfect information games, where all elements are known to every player, imperfect information games emulate the real-world complexities of decision-making under uncertain or incomplete information.

DanZero+: Dominating the GuanDan Game through Reinforcement Learning

submit-paper/Danzero_plus 5 Dec 2023

The utilization of artificial intelligence (AI) in card games has been a well-explored subject within AI research for an extensive period.

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

jinhaoduan/gtbench 19 Feb 2024

As Large Language Models (LLMs) are integrated into critical real-world applications, their strategic and logical reasoning abilities are increasingly crucial.