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Jeff S. Shamma

6 papers hereh-index 212 citations7 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.SY3
  • cs.GT1
  • cs.LG1
  • math.OC1
same name
  • Jeff S. Shamma — 1 paper
  • Jeff S. Shamma — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedOptimism as Risk-Seeking in Multi-Agent Reinforcement Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing eess.SYShow all

3 papers · 1 filter

eess.SY2026

Stabilization Limits of Payoff-Based Higher-Order Replicator Dynamics

Hassan Abdelraouf, Vijay Gupta, Jeff S. Shamma

Replicator dynamics (RD) is a fundamental model in learning in games, connecting evolutionary game theory and online learning. This paper studies payoff-based higher-order variants…

eess.SY2026

Convergence of Payoff-Based Higher-Order Replicator Dynamics in Contractive Games

Hassan Abdelraouf, Vijay Gupta, Jeff S. Shamma

We study the convergence properties of a payoff-based higher-order version of replicator dynamics, a widely studied model in evolutionary dynamics and game-theoretic learning, in c…

eess.SY2026

Can a Learner Regret Using a No-Regret Algorithm? A Control-Theoretic Study of Performance Dominance

Hassan Abdelraouf, Jeff S. Shamma

No-regret learning dynamics ensure that a learner asymptotically achieves an average reward no worse than that of any fixed strategy. This no-regret guarantee does not determine th…

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