10 citations · 16 across the 7 of their papers we have counts for
6 papers · 1 filter
The Lagrangian Method for Solving Constrained Markov Games
Soham Das, Santiago Paternain, Luiz F. O. Chamon +1
We propose the concept of a Lagrangian game to solve constrained Markov games. Such games model scenarios where agents face cost constraints in addition to their individual rewards…
Resilient Control: Compromising to Adapt
Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain +1
In optimal control problems, disturbances are typically dealt with using robust solutions, such as H-infinity or tube model predictive control, that plan control actions feasible f…
Counterfactual Programming for Optimal Control
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
In recent years, considerable work has been done to tackle the issue of designing control laws based on observations to allow unknown dynamical systems to perform pre-specified tas…
Source Seeking in Unknown Environments with Convex Obstacles
Bruno A. Angélico, Luiz F. O. Chamon, Santiago Paternain +2
Navigation tasks often cannot be defined in terms of a target, either because global position information is unavailable or unreliable or because target location is not explicitly…
Distributed Constrained Online Learning
Santiago Paternain, Soomin Lee, Michael M. Zavlanos +1
In this paper, we consider groups of agents in a network that select actions in order to satisfy a set of constraints that vary arbitrarily over time and minimize a time-varying fu…
Online Learning of Feasible Strategies in Unknown Environments
Santiago Paternain, Alejandro Ribeiro
Define an environment as a set of convex constraint functions that vary arbitrarily over time and consider a cost function that is also convex and arbitrarily varying. Agents that…