Human-agent communication in poker game

Osone, Keisuke; Gong, Weiyi; Onisawa, Takehisa

doi:10.1109/icsmc.2010.5641869

Cited by 7 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most recent Poker agents, based on techniques derived from artificial intelligence, have reached superhuman capabilities: in [14] an algorithm called "Pluribus" is presented, shown to be stronger than top human professionals in six-player nolimit Texas hold'em Poker. The game has also been studied under different lenses, other than strategical optimality: in [15] an emotion recognition model is described, which aims at assisting the human player by providing advice based on the current game situations and human player's recognized emotions. Further examples of well-known CGs for which optimal strategies have been derived are Blackjack and Baccarat [16], both sharing a strong gambling component.…”

Section: A Related Workmentioning

confidence: 99%

“…Note that (15) has the following meaning: on the one hand, the number of players with a card value lower than v i cannot be higher than v − i (i.e., the number of cards, in the whole deck, with a value lower than v − i ); on the other hand, the number of players with a card value lower than v i is upper bounded by the number of remaining players whose cards are unknown (i.e., N − K+ i ). Having defined Ω − i,d , the event related to the existence of at least one player j ̸ = i such that v j < v i is:…”

Section: B Optimal Strategymentioning

confidence: 99%

“…where B represents the subset of b players whose card value is higher or equal to v i . It is apparent that B is not empty (and consequently the event Ω + i,b may occur) if and only if b ≤ M + , where M + has a meaning similar to M − in (15) and is defined as:…”

Section: B Optimal Strategymentioning

confidence: 99%

See 2 more Smart Citations

Optimal Decision Strategies for the Generalized Cuckoo Card Game

2024

View full text Add to dashboard Cite

Cuckoo is a popular card game, which originated in France during the 15th century and then spread throughout Europe, where it is currently well-known under distinct names and with different variants. Cuckoo is an imperfect information game-of-chance, which makes the research regarding its optimal strategies determination interesting. The rules are simple: each player receives a covered card from the dealer; starting from the player at the dealer's left, each player looks at its own card and decides whether to exchange it with the player to their left, or keep it; the dealer plays at last and, if it decides to exchange card, it draws a random one from the remaining deck; the player(s) with the lowest valued card lose(s) the round. We formulate the gameplay mathematically and provide an analysis of the optimal decision policies. Different card decks can be used for this game, e.g., the standard 52-card deck or the Italian 40-card deck. We generalize the decision model for an arbitrary number decks' cards, suites, and players. Lastly, through numerical simulations, we compare the determined optimal decision strategy against different benchmarks, showing that the strategy outperforms the random and naive policies and approaches the performance of the ideal oracle.

show abstract

Section: A Related Workmentioning

confidence: 99%

Section: B Optimal Strategymentioning

confidence: 99%

See 1 more Smart Citation

Optimal Decision Strategies for the Generalized Cuckoo Card Game

2024

View full text Add to dashboard Cite

show abstract

“…The most recent Poker agents, based on techniques derived from artificial intelligence, have reached superhuman capabilities: in [14] an algorithm called "Pluribus" is presented, shown to be stronger than top human professionals in six-player no-limit Texas hold'em Poker. The game has also been studied under different lenses, other than strategical optimality: in [15] an emotion recognition model is described, which aims at assisting the human player by providing advice based on the current game situations and human player's recognized emotions. Further examples of well-known CGs for which optimal strategies have been derived are Blackjack and Baccarat [16], both sharing a strong gambling component.…”

Section: Related Workmentioning

confidence: 99%

Optimal Decision Strategies for the Generalized Cuckoo Card Game

Mignoni¹,

Carli²,

Dotoli³

2023

Preprint

View full text Add to dashboard Cite

Cuckoo is a popular card game, which originated in France during the 15th century and then spread throughout Europe, where it is currently well-known under distinct names and with different variants. Cuckoo is an imperfect information game-of-chance, which makes the research regarding its optimal strategies determination interesting. The rules are simple: each player receives a covered card from the dealer; starting from the player at the dealer's left, each player looks at its own card and decides whether to exchange it with the player to their left, or keep it; the dealer plays at last and, if it decides to exchange card, it draws a random one from the remaining deck; the player(s) with the lowest valued card lose(s) the round. We formulate the gameplay mathematically and provide an analysis of the optimal decision policies. Different card decks can be used for this game, e.g., the standard 52-card deck or the Italian 40-card deck. We generalize the decision model for an arbitrary number decks' cards, suites, and players. Lastly, through numerical simulations, we compare the determined optimal decision strategy against different benchmarks, showing that the strategy outperforms the random and naive policies and approaches the performance of the ideal oracle. This work has been submitted to IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

show abstract

Real-Time Emotion Recognition for EEG Signals Recollected from Online Poker Game Participants

Torres

Hernández-Álvarez

et al. 2021

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Human-agent communication in poker game

Cited by 7 publications

References 2 publications

Optimal Decision Strategies for the Generalized Cuckoo Card Game

Optimal Decision Strategies for the Generalized Cuckoo Card Game

Optimal Decision Strategies for the Generalized Cuckoo Card Game

Real-Time Emotion Recognition for EEG Signals Recollected from Online Poker Game Participants

Contact Info

Product

Resources

About