Card Games

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

4 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

23 shown of 23 papers with code (52 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• RLCard: A Toolkit for Reinforcement Learning in Card Games
  10 Oct 2019 9 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse…
• Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
  3 Mar 2016 7 repositories listed
  When applied to Leduc poker, Neural Fictitious Self-Play (NFSP) approached a Nash equilibrium, whereas common reinforcement learning methods diverged.
• GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
  19 Feb 2024 2 repositories listed
  We further characterize the game-theoretic properties of LLMs, such as equilibrium and Pareto Efficiency in repeated games.
• Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
  11 Jun 2019 2 repositories listed
  Jass is a very popular card game in Switzerland and is closely connected with Swiss culture.
• Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information
  30 Aug 2018 2 repositories listed
  We introduce a new virtual environment for simulating a card game known as "Big 2".
• Latent Predictor Networks for Code Generation
  22 Mar 2016 2 repositories listed
  Many language generation tasks require the production of text conditioned on both structured and unstructured inputs.
• Optimizing Hearthstone Agents using an Evolutionary Algorithm
  25 Oct 2024 1 repository listed
  Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence.
• Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
  30 Aug 2024 1 repository listed
  The accuracy of the observed strength relations in these games is comparable to traditional pairwise win value predictions, while also offering a more manageable complexity for analysis.
• AlphaDou: High-Performance End-to-End Doudizhu AI Integrating Bidding
  14 Jul 2024 1 repository listed
  However, the game of Doudizhu presents significant challenges due to its vast state/action space and unique characteristics involving reasoning about competition and cooperation, making the game extremely difficult to…
• Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
  23 Jun 2024 1 repository listed
  Recent advancements in large language models (LLMs) have unlocked the potential for generating high-quality game commentary.
• DanZero+: Dominating the GuanDan Game through Reinforcement Learning
  5 Dec 2023 1 repository listed
  The utilization of artificial intelligence (AI) in card games has been a well-explored subject within AI research for an extensive period.
• Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
  29 Sep 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  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.
• PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
  19 Jul 2023 1 repository listed
  To bridge this gap, we introduce PyTAG, a Python API for interacting with the Tabletop Games framework (TAG).
• Introducing Tales of Tribute AI Competition
  14 May 2023 1 repository listed
  This paper presents a new AI challenge, the Tales of Tribute AI Competition (TOTAIC), based on a two-player deck-building card game released with the High Isle chapter of The Elder Scrolls Online.
• Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
  24 Feb 2023 1 repository listed
  Responsibility attribution is a key concept of accountable multi-agent decision making.
• DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
  11 Jun 2021 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 1 pointer-only (licence)
  Games are abstractions of the real world, where artificial agents learn to compete and cooperate with other agents.
• Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking
  25 May 2021 1 repository listed
  Drafting, i.
• Analysis of Evolutionary Program Synthesis for Card Games
  8 Jan 2021 1 repository listed
  We report the results by providing a comprehensive analysis of the set of rules and their implications.
• Drafting in Collectible Card Games via Reinforcement Learning
  7 Nov 2020 1 repository listed
  In this paper, we present a deep reinforcement learning approach for deck building in arena mode - an understudied game mode present in many collectible card games.
• The Winnability of Klondike Solitaire and Many Other Patience Games
  28 Jun 2019 1 repository listed
  Klondike, the game in the Windows Solitaire program, is just one of many single-player card games, generically called 'patience' or 'solitaire' games, for which players have long wanted to know how likely a particular…
• Combinational Q-Learning for Dou Di Zhu
  24 Jan 2019 1 repository listed
  Deep reinforcement learning (DRL) has gained a lot of attention in recent years, and has been proven to be able to play Atari games and Go at or above human levels.
• Approximating Poker Probabilities with Deep Learning
  22 Aug 2018 1 repository listed
  Many poker systems, whether created with heuristics or machine learning, rely on the probability of winning as a key input.
• Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games
  26 Jun 2018 1 repository listed
  Deck building is a crucial component in playing Collectible Card Games (CCGs).

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.