6 citations · 6 across the 8 of their papers we have counts for
14 papers
Multi-Agent Stage-wise Conservative Linear Bandits
Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall
In many real-world applications such as recommendation systems, multiple learning agents must balance exploration and exploitation while maintaining safety guarantees to avoid cata…
OT-MeanFlow3D: Bridging Optimal Transport and Meanflow for Efficient 3D Point Cloud Generation
Elaheh Akbari, Shansita Sharma, Ping He +5
Flow-matching models have recently emerged as a powerful framework for continuous generative modeling, including 3D point cloud synthesis. However, their deployment is limited by t…
On Learning Closed-Loop Probabilistic Multi-Agent Simulator
Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari +3
The rapid iteration of autonomous vehicle (AV) deployments leads to increasing needs for building realistic and scalable multi-agent traffic simulators for efficient evaluation. Re…
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Sung-Yeon Park, Can Cui, Yunsheng Ma +4
Recent advances in multi-modal large language models (MLLMs) have demonstrated strong performance across various domains; however, their ability to comprehend driving scenes remain…
Cooperative Multi-Agent Constrained Stochastic Linear Bandits
Amirhossein Afsharrad, Parisa Oftadeh, Ahmadreza Moradipari +1
In this study, we explore a collaborative multi-agent stochastic linear bandit setting involving a network of agents that communicate locally to minimize their collective regre…
Convex Methods for Constrained Linear Bandits
Amirhossein Afsharrad, Ahmadreza Moradipari, Sanjay Lall
Recently, bandit optimization has received significant attention in real-world safety-critical systems that involve repeated interactions with humans. While there exist various alg…