17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.MA2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
Ian Gemp, Thomas Anthony, Yoram Bachrach +24
The Game Theory & Multi-Agent team at DeepMind studies several aspects of multi-agent learning ranging from computing approximations to fundamental concepts in game theory to simul…
cs.LG2022★ 17 cited
Subverting machines, fluctuating identities: Re-learning human categorization
Christina Lu, Jackie Kay, Kevin R. McKee
Most machine learning systems that interact with humans construct some notion of a person's "identity," yet the default paradigm in AI research envisions identity with essential at…