Multi Agent Learning of Relational Action Models
Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Rouveirol Céline · Frontiers in artificial intelligence and applications · 2014
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 frame-work for such collaborative relational action model revision.