ML Anthology

Gifting in Multi-Agent Reinforcement Learning (Student Abstract)

Andrei Lupu, Doina Precup
AAAI 2020 pp. 13871-13872
doi:10.1609/AAAI.V34I10.7208 /aaai/2020/lupu2020aaai-gifting/

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.

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Cite

Text

Lupu and Precup. "Gifting in Multi-Agent Reinforcement Learning (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7208

Markdown

[Lupu and Precup. "Gifting in Multi-Agent Reinforcement Learning (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/lupu2020aaai-gifting/) doi:10.1609/AAAI.V34I10.7208

BibTeX

@inproceedings{lupu2020aaai-gifting,
  title     = {{Gifting in Multi-Agent Reinforcement Learning (Student Abstract)}},
  author    = {Lupu, Andrei and Precup, Doina},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13871-13872},
  doi       = {10.1609/AAAI.V34I10.7208},
  url       = {https://mlanthology.org/aaai/2020/lupu2020aaai-gifting/}
}