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.
Benchmarks
These leaderboards are used to track progress in Card Games
Cards Against Humanity
Latest papers with no code
Two-Step Reinforcement Learning for Multistage Strategy Card Game
In the realm of artificial intelligence and card games, this study introduces a two-step reinforcement learning (RL) strategy tailored for "The Lord of the Rings: The Card Game (LOTRCG)," a complex multistage strategy card game.
History Filtering in Imperfect Information Games: Algorithms and Complexity
We show that constructing a single history from the root of the subgame is generally intractable, and then provide a necessary and sufficient condition for efficient enumeration.
Introducing Tales of Tribute AI Competition
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.
DanZero: Mastering GuanDan Game with Reinforcement Learning
We compare it with 8 baseline AI programs which are based on heuristic rules and the results reveal the outstanding performance of DanZero.
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation
Axie infinity is a complicated card game with a huge-scale action space.
On the complexity of Dark Chinese Chess
This paper provides a complexity analysis for the game of dark Chinese chess (a. k. a.
Evolving Evaluation Functions for Collectible Card Game AI
One simpler and more limited, based on a vector of weights that are used in a linear combination of predefined game features.
Knowledge-Based Paranoia Search in Trick-Taking
This paper proposes \emph{knowledge-based paraonoia search} (KBPS) to find forced wins during trick-taking in the card game Skat; for some one of the most interesting card games for three players.
ELO System for Skat and Other Games of Chance
Assessing the skill level of players to predict the outcome and to rank the players in a longer series of games is of critical importance for tournament play.
Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes
In this paper, we evolve a card-choice strategy for the arena mode of Legends of Code and Magic, a programming game inspired by popular collectible card games like Hearthstone or TES: Legends.
