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In social psychology, Social Value Orientation (SVO) describes anindividual's propensity to allocate resources between themself and others. Inreinforcement learning, SVO has been instantiated as an intrinsic motivationthat remaps an agent's rewards based on particular target distributions ofgroup reward. Prior studies show that groups of agents endowed withheterogeneous SVO learn diverse policies in settings that resemble theincentive structure of Prisoner's dilemma. Our work extends this body ofresults and demonstrates that (1) heterogeneous SVO leads to meaningfullydiverse policies across a range of incentive structures in sequential socialdilemmas, as measured by task-specific diversity metrics; and (2) learning abest response to such policy diversity leads to better zero-shot generalizationin some situations. We show that these best-response agents learn policies thatare conditioned on their co-players, which we posit is the reason for improvedzero-shot generalization results.

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas