Learning Hierarchical Teaching Policies for Cooperative Agents

Dong-Ki Kim
Dong-Ki Kim
Miao Liu
Miao Liu
Sebastian Lopez-Cot
Sebastian Lopez-Cot
Matthew Riemer
Matthew Riemer
Sami Mourad
Sami Mourad

AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland New Zealand May, 2020, pp. 620-628, 2020.

Cited by: 0|Bibtex|Views48|DOI:https://doi.org/10.5555/3398761.3398836
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Other Links: dl.acm.org|dblp.uni-trier.de

Abstract:

Collective learning can be greatly enhanced when agents effectively exchange knowledge with their peers. In particular, recent work studying agents that learn to teach other teammates has demonstrated that action advising accelerates team-wide learning. However, the prior work has simplified the learning of advising policies by using simp...More

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