Results 21 to 30 of about 784,857 (332)
AAAI Conference on Artificial Intelligence, 2023 One of the most popular methods for learning Nash equilibrium (NE) in large-scale imperfect information extensive-form games (IIEFGs) is the neural variants of counterfactual regret minimization (CFR).
Lin Meng +4 more
semanticscholar +1 more source
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games [PDF]
Algorithmic Game Theory, 2022 The study of learning in games has thus far focused primarily on normal form games. In contrast, our understanding of learning in extensive form games (EFGs) and particularly in EFGs with many agents lags far behind, despite them being closer in nature ...
G. Piliouras +3 more
semanticscholar +1 more source
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games [PDF]
International Conference on Machine Learning, 2021 Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents with mediated ...
Dustin Morrill +5 more
semanticscholar +1 more source
Exploring the Benefits of Representing Multiplayer Game Data in a Coordinate System
Journal of Applied Mathematics, 2023 In the realm of game theory, a range of mathematical approaches exists for the representation of game data, with the extensive form (depicted as a game tree) and the normal form (illustrated as a payoff matrix) standing out as the most prevalent. However,
Mekdad Slime +2 more
doaj +1 more source
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions [PDF]
AAAI Conference on Artificial Intelligence, 2021 Despite the many recent practical and theoretical breakthroughs in computational game theory, equilibrium finding in extensive-form team games remains a significant challenge.
B. Zhang, T. Sandholm
semanticscholar +1 more source
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games [PDF]
AAAI Conference on Artificial Intelligence, 2021 Tree-form sequential decision making (TFSDM) extends classical one-shot decision making by modeling tree-form interactions between an agent and a potentially adversarial environment.
Gabriele Farina +2 more
semanticscholar +1 more source
Translating Extensive Form Games to Open Games with Agency [PDF]
ACT, 2021 We show open games cover extensive form games with both perfect and imperfect information. Doing so forces us to address two current weaknesses in open games: the lack of a notion of player and their agency within open games, and the lack of choice ...
Matteo Capucci +3 more
semanticscholar +1 more source
PLoS ONE, 2022 Child abuse refers to any form of maltreatment, including physical abuse, sexual abuse, emotional abuse, and neglect that occurs to children under 18 years of age.
Afsoon Asadzadeh +4 more
doaj +1 more source
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games [PDF]
AAAI Conference on Artificial Intelligence, 2021 The practical scalability of many optimization algorithms for large extensive-form games is often limited by the games' huge payoff matrices. To ameliorate the issue, Zhang and Sandholm recently proposed a sparsification technique that factorizes the ...
Gabriele Farina, T. Sandholm
semanticscholar +1 more source
Estimating Extensive Form Games in R
Journal of Statistical Software, 2014 This article introduces new software, the games package, for estimating strategic statistical models in R. In these models, the probability distribution over outcomes corresponds to the equilibrium of an underlying game form.
Brenton Kenkel, Curtis Signorino
doaj +1 more source