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cs.GT2026
Equilibrium Computation in Extensive-Form Games with Stochastic Action Sets
Thomas Schwarz, Jiaru Li, Ryann Sim +1
Extensive-form games (EFGs) are a standard model for sequential decision-making in games. A fundamental and typically implicit assumption in EFGs is that players always have access…
cs.GT2026
Solving Imperfect-Recall Games via Sum-of-Squares Optimization
Rui Zheng, Ryann Sim, Antonios Varvitsiotis
Extensive-form games (EFGs) provide a powerful framework for modeling sequential decision making, capturing strategic interaction under imperfect information, chance events, and te…
cs.GT2026
Computing Equilibria in Games with Stochastic Action Sets
Thomas Schwarz, Jiaru Li, Ryann Sim +1
The study of learning in games typically assumes that each player always has access to all of their actions. However, in many practical scenarios, players' available actions might…