2 citations · 2 across the 4 of their papers we have counts for
4 papers
Cooperative Risk-Aware Exploration in Heterogeneous Multi-Robot Systems Using Algorithmic Altruism
Brooks A. Butler, Jair Certório, João P. Hespanha +1
Multi-robot systems are well-positioned for exploration in hazardous environments, but effective deployment requires deciding not only where robots should gather information, but a…
Nash Equilibrium Learning In Large Populations With First-Order Payoff Modifications
Matthew S. Hankins, Jair Certório, Tzuyu Jeng +1
We establish Nash equilibrium learning in large populations of noncooperative, strategic agents. Our analysis considers the broadest class to date of payoff mechanisms with first-o…
Counterclockwise Dissipativity, Potential Games and Evolutionary Nash Equilibrium Learning
Nuno C. Martins, Jair Certório, Matthew S. Hankins
We use system-theoretic passivity methods to study evolutionary Nash equilibria learning in large populations of agents engaged in strategic, non-cooperative interactions. The agen…
Incentive Designs for Learning Agents to Stabilize Coupled Exogenous Systems
Jair Certório, Nuno C. Martins, Richard J. La +1
We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize…