6 citations · 6 across the 5 of their papers we have counts for
5 papers
Zero-sum turn games using Q-learning: finite computation with security guarantees
Sean Anderson, Chris Darken, João Hespanha
This paper addresses zero-sum ``turn'' games, in which only one player can make decisions at each state. We show that pure saddle-point state-feedback policies for turn games can b…
Two-dimensional Parallel Tempering for Constrained Optimization
Corentin Delacour, M Mahmudul Hasan Sajeeb, Joao P. Hespanha +1
Sampling Boltzmann probability distributions plays a key role in machine learning and optimization, motivating the design of hardware accelerators such as Ising machines. While the…
Event-triggered control cannot improve the gain of optimal periodic control and transmit at a smaller average rate
Duarte J. Antunes, J. P. Hespanha
We consider a standard discrete-time event-triggered control setting by which a scheduler collocated with the plant's sensors decides when to transmit sensor data to a remote contr…
Optimal sampling schedules for and state-feedback control
Duarte J. Antunes, J. P. Hespanha
We consider a discrete-time linear system for which the control input is updated at every sampling time, but the state is measured at a slower rate. We allow the state to be sample…
Modular decomposition and analysis of biological networks
Hari Sivakumar, Stephen R. Proulx, João P. Hespanha
This paper addresses the decomposition of biochemical networks into functional modules that preserve their dynamic properties upon interconnection with other modules, which permits…