Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments : Extended Abstract

Pelcner, Lukasz and do Carmo Alves, Matheus Aparecido and Soriano Marcolino, Leandro and Harrison, Paula and Atkinson, Peter (2023) Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments : Extended Abstract. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems :. IFAAMAS, NZL. (In Press)

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Abstract

We propose ORAA, a novel online incentive algorithm that guides agents in a property-based MARL domain to act sustainably with a common pool of resources. ORAA uses our proposed P-MADDPG model to learn and make decisions over the decentralised agents. We test our solutions in our novel domain, the ``Pollinators' Game'', which simulates a property-based MARL scenario and its incentivisation dynamics. We show significant improvement in the incentives’ cost-efficiency when using learned models that approximate the behaviour of each agent instead of simulating their true models.