论文信息 - Multi Agent Learning of Relational Action Models

Multi Agent Learning of Relational Action Models

Multi Agent Relational Action Learning considers a community of agents, each rationally acting following some relational action model. The observed effect of past actions that led an agent to revise its action model can be communicated, upon request, to another agent, speeding up its own revision. We present a framework for such collaborative relational action model revision.

Céline Rouveirol | Gauvain Bourgne | Henry Soldano | Christophe Rodrigues

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