Rethinking Formal Models of Partially Observable Multiagent Decision Making

26 Jun 2019Vojtěch KovaříkMartin SchmidNeil BurchMichael BowlingViliam Lisý

Multiagent decision-making problems in partially observable environments are usually modeled as either extensive-form games (EFGs) within the game theory community or partially observable stochastic games (POSGs) within the reinforcement learning community. While most practical problems can be modeled in both formalisms, the communities using these models are mostly distinct with little sharing of ideas or advances... (read more)

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