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Jayd Matyas

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.MA1

identity via Semantic Scholar / OpenAlex

most citedScalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot

23 citations · 24 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2022★ 1 cited

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria

Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas +7

A key challenge in the study of multiagent cooperation is the need for individual agents not only to cooperate effectively, but to decide with whom to cooperate. This is particular…

cs.MA2021★ 23 cited

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot

Joel Z. Leibo, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets +7

Existing evaluation suites for multi-agent reinforcement learning (MARL) do not assess generalization to novel situations as their primary objective (unlike supervised-learning ben…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.