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.
How to Cite
Lupu, A., & Precup, D. (2020). Gifting in Multi-Agent Reinforcement Learning (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13871-13872. https://doi.org/10.1609/aaai.v34i10.7208
Student Abstract Track