Gifting in Multi-Agent Reinforcement Learning (Student Abstract)

  • Andrei Lupu Mila/McGill University
  • Doina Precup Mila/McGill University

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.

Published
2020-04-03
Section
Student Abstract Track