no code implementations • 28 May 2023 • Justin Lidard, Oswin So, Yanxia Zhang, Jonathan DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John Leonard, Avinash Balachandran, Naomi Leonard, Guy Rosman
Interactions between road agents present a significant challenge in trajectory prediction, especially in cases involving multiple agents.
1 code implementation • 23 Sep 2022 • Justice Mason, Christine Allen-Blanchette, Nicholas Zolman, Elizabeth Davison, Naomi Leonard
In many real-world settings, image observations of freely rotating 3D rigid bodies, such as satellites, may be available when low-dimensional measurements are not.
no code implementations • 28 Jan 2022 • Udaya Ghai, Udari Madhushani, Naomi Leonard, Elad Hazan
We study the problem of multi-agent control of a dynamical system with known dynamics and adversarial disturbances.
no code implementations • 8 Oct 2021 • Udari Madhushani, Naomi Leonard
We propose \textit{ComEx}, a novel cost-effective communication protocol in which the group achieves the same order of performance as full communication while communicating only $O(\log T)$ number of messages.
no code implementations • NeurIPS Workshop ICBINB 2020 • Udari Madhushani, Naomi Leonard
We identify a fundamental drawback of natural extensions of Upper Confidence Bound (UCB) algorithms to the multi-agent bandit problem in which multiple agents facing the same explore-exploit problem can share information.
no code implementations • 2 Sep 2020 • Udari Madhushani, Naomi Leonard
To do so we study a class of distributed stochastic bandit problems in which agents communicate over a multi-star network and make sequential choices among options in the same uncertain environment.