Counterfactual Regret Minimization
PulseAugur coverage of Counterfactual Regret Minimization — every cluster mentioning Counterfactual Regret Minimization across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New algorithm tackles Nash equilibrium in complex multiplayer games · 3 sources tracked
Researchers have developed a new algorithm called Projected Exploitability Descent (PED) for approximating Nash equilibria in complex multiplayer games with imperfect information. This algorithm minimizes a proxy for th…
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New AI methods tackle imperfect-information games
Researchers are developing new methods to tackle complex games with imperfect information. One paper introduces Recurrent Structural Policy Gradient (RSPG), a novel approach for partially observable mean field games tha…
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New papers detail faster regret minimization for online optimization and games
Two new arXiv papers explore advancements in regret minimization for online optimization and game theory. The first paper introduces a simpler, computationally efficient algorithm for minimizing linear swap regret with …