4 citations · 12 across the 8 of their papers we have counts for
9 papers
LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have +10
The ability of Language Models (LMs) to understand natural language makes them a powerful tool for parsing human instructions into task plans for autonomous robots. Unlike traditio…
CHATATC: Large Language Model-Driven Conversational Agents for Supporting Strategic Air Traffic Flow Management
Sinan Abdulhak, Wayne Hubbard, Karthik Gopalakrishnan +1
Generative artificial intelligence (AI) and large language models (LLMs) have gained rapid popularity through publicly available tools such as ChatGPT. The adoption of LLMs for per…
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Siddharth Nayak, Kenneth Choi, Wenqi Ding +3
We consider the problem of multi-agent navigation and collision avoidance when observations are limited to the local neighborhood of each agent. We propose InforMARL, a novel archi…
Differentially Private Stochastic Convex Optimization for Network Routing Applications
Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang +1
Network routing problems are common across many engineering applications. Computing optimal routing policies requires knowledge about network demand, i.e., the origin and destinati…
Online Learning for Traffic Routing under Unknown Preferences
Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan +2
In transportation networks, users typically choose routes in a decentralized and self-interested manner to minimize their individual travel costs, which, in practice, often results…
Private Location Sharing for Decentralized Routing services
Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan +1
Data-driven methodologies offer many exciting upsides, but they also introduce new challenges, particularly in the realm of user privacy. Specifically, the way data is collected ca…
Routing with Privacy for Drone Package Delivery Systems
Geoffrey Ding, Alex Berke, Karthik Gopalakrishnan +3
Unmanned aerial vehicles (UAVs), or drones, are increasingly being used to deliver goods from vendors to customers. To safely conduct these operations at scale, drones are required…
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes
Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan +3
Congestion pricing has long been hailed as a means to mitigate traffic congestion; however, its practical adoption has been limited due to the resulting social inequity issue, e.g.…
Throughput-Fairness Tradeoffs in Mobility Platforms
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal +5
This paper studies the problem of allocating tasks from different customers to vehicles in mobility platforms, which are used for applications like food and package delivery, rides…