DeepStack
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Related Items (24)
Successful Nash equilibrium agent for a three-player imperfect-information game ⋮ Computing human-understandable strategies: deducing fundamental rules of poker strategy ⋮ Distinguishing luck from skill through statistical simulation: a case study ⋮ Rethinking formal models of partially observable multiagent decision making ⋮ Value functions for depth-limited solving in zero-sum imperfect-information games ⋮ DCENet: a dynamic correlation evolve network for short-term traffic prediction ⋮ Approximating maxmin strategies in imperfect recall games using A-loss recall property ⋮ Committing to correlated strategies with multiple leaders ⋮ DeepStack: Expert-level artificial intelligence in heads-up no-limit poker ⋮ Limited lookahead in imperfect-information games ⋮ Identifying behaviorally robust strategies for normal form games under varying forms of uncertainty ⋮ Faster algorithms for extensive-form game solving via improved smoothing functions ⋮ Superhuman AI for multiplayer poker ⋮ The Hanabi challenge: a new frontier for AI research ⋮ Analysis of Hannan consistent selection for Monte Carlo tree search in simultaneous move games ⋮ Automated construction of bounded-loss imperfect-recall abstractions in extensive-form games ⋮ Deep reinforcement learning with emergent communication for coalitional negotiation games ⋮ Generosity, selfishness and exploitation as optimal greedy strategies for resource sharing ⋮ Multi-agent reinforcement learning: a selective overview of theories and algorithms ⋮ World-class interpretable poker ⋮ Mathematical consistency and long-term behaviour of a dynamical system with a self-organising vector field ⋮ CECMLP: new cipher-based evaluating collaborative multi-layer perceptron scheme in federated learning ⋮ Robust and resource-efficient identification of two hidden layer neural networks ⋮ Computing Large Market Equilibria Using Abstractions
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