activity
20212025
most citedThe Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality

7 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE2025

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback

Rex Chen, Karen Wu, John McCartney +2

How can a traffic simulation be designed to faithfully reflect real-world traffic conditions? One crucial step is modeling the volume of traffic demand. But past demand modeling ap…

cs.MA2025

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning

Rex Chen, Stephanie Milani, Zhicheng Zhang +2

Poor interpretability hinders the practical applicability of multi-agent reinforcement learning (MARL) policies. Deploying interpretable surrogates of uninterpretable policies enha…

cs.HC2024

Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers

Rex Chen, Ruiyi Wang, Fei Fang +1

Decision aids based on artificial intelligence (AI) induce a wide range of outcomes when they are deployed in uncertain environments. In this paper, we investigate how users' trust…

cs.LG2023

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?

Rex Chen, Kathleen M. Carley, Fei Fang +1

Traffic simulators are used to generate data for learning in intelligent transportation systems (ITSs). A key question is to what extent their modelling assumptions affect the capa…

cs.HC2023

Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants

Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao +4

Understanding and managing data privacy in the digital world can be challenging for sighted users, let alone blind and low-vision (BLV) users. There is limited research on how BLV…

cs.AI2022★ 7 cited

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality

Rex Chen, Fei Fang, Norman Sadeh

Traffic signal control (TSC) is a high-stakes domain that is growing in importance as traffic volume grows globally. An increasing number of works are applying reinforcement learni…

cs.CY2021

Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA

Rex Chen, Fei Fang, Thomas Norton +2

Vagueness and ambiguity in privacy policies threaten the ability of consumers to make informed choices about how businesses collect, use, and share their personal information. The…