6 citations · 6 across the 3 of their papers we have counts for
3 papers
Scaling and Trade-offs in Multi-agent Autonomous Systems
Abram H. Clark, Liraz Mudrik, Colton Kawamura +3
Designing autonomous drone swarms is hampered by a vast design space spanning platform, algorithmic, and numerical-strength choices. We perform large-scale agent-based simulations…
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…