Gifting in Multi-Agent Reinforcement Learning (Student Abstract)

This work performs a first study on multi-agent reinforcement learning with deliberate reward passing between agents. We empirically demonstrate that such mechanics can greatly improve the learning progression in a resource appropriation setting and provide a preliminary discussion of the complex effects of gifting on the learning dynamics.

Authors

• Andrei Lupu
• Doina Precup Mila – Quebec Artificial Intelligence Institute & McGill University

Keywords

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