Research

I am interested in topics in economics (public, labor, and micro theory) and machine learning (algorithmic game theory and reinforcement learning).

Currently, I am:

Previously, I was:

Presentations/Conferences

Upcoming

All clear :)

Past

  • Undergraduate Research Week (5/19/2025-5/23/2025)
    • Variations on Information Asymmetric Multi-Agent Reinforcement Learning Bandit Problems, with Lily Jiang and Khang Nguyen [Video]
    • Impacts and Policy Implications of Inflation and Declining Real UI Benefit Levels, with Terrence Yu
  • Economic Board of Visitors Meeting (4/28/2025)
    • UI and Inflation
  • SoCal AI and Responsibility Summit (SAIRS) (4/19/2025)
    • Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits, with Helen Yuan
    • Winner of Best Overall Contribution to 2025 Research Competition

Projects

 

Second-Price Pay-Per-Click Auction Markov Decision Processes

On hold
reinforcement learning
games
auctions
hold

 

Impacts and Policy Implications of Inflation and Declining Real UI Benefit Levels

with California Policy Lab
applied microeconomics
labor economics
IP
This is a project in progress as part of my work at CPL. Data Repo

Kenny Guo, Terrence Yu, Peter Mannino

 

Payoff-Based Learning of Equilibria in Decentralized Performative Games

In Progress
games
machine learning

Kenny Guo, William Chang

 

Continuous Q-Learning in Markov Decision Processes

Under Review
reinforcement learning
Abstract. Reliable simulation agents have become crucial for evaluating and deploying autonomous systems, with recent work showing that large-scale self-play can produce…
Oct 25, 2025
Kenny Guo, Ricardo Parada, Helen Yuan, Larissa Xu, Valentio Iverson, Sahan Wijetunga, William Chang

Decentralized Online Learning of Stackelberg Equilibrium in General-Sum Leader-Controller Markov Games

Currently Under Review
reinforcement learning
games
I want to go watch the Dodgers game, but Lynn really wants to go to Erewhon. However, if we both go to the Dodgers game, Lynn will be less happy than me, and similarly, if…
Oct 25, 2025
Kenny Guo, Ricardo Parada, Helen Yuan, Larissa Xu, William Chang

 

Policy Optimization for Corrupted Markov Decision Processes

Currently Under Review
reinforcement learning
If you’ve been keeping up with tech, you’ve maybe heard the term policy optimization tossed around, particularly by notable companies like OpenAI. In essence, policy…
May 15, 2025
Khang Nguyen, Kenny Guo, David Yu, William Chang

Networks - Directed Reading

With Prof. Simon Board
networks
games
Starting Spring 2025, I’m doing some directed reading in network dynamics and games with the help of economic theory Professor Simon Board. I’ve found this line of work of…
Apr 14, 2025

 

TraffiX: Constructing and Simulating Road Networks

PIC16B: Final Project
networks
programs
This was a project for PIC16B: Python with Applications II at UCLA. The goal was to simulate road networks using real world data from OpenStreetMap NetworkX in the hopes of…
Mar 12, 2025
Kenny Guo, Mario Truong, Henry Tang

 

Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits

Currently Under Review
reinforcement learning
This is my first learning theory paper titled Coordinating for Clicks: Learning in Multi-Agent Information Asymmetric Cascading Bandits. I collaborated on this project…
Feb 14, 2025
Kenny Guo, Lily Jiang, Lune Chan, Sophia Yi, William Chang

 

“Growing Beyond Growth?”

Effect of Social Values and Technology on Ecological Market Failures and Policies of International Financial Institutions
applied microeconomics
environmental economics
articles
“Look how you’ve grown!” versus “You have a growth.”
Jun 9, 2024
Kenny Guo

 

Crime and Policing Data Collection

Missing Data and Examining Law Enforcement Behavior and Policy
applied microeconomics
labor economics
articles
A Hispanic boy in LA sees his father taken away to jail. Multiply that by twenty-seven thousand—every night (Million Dollar Hoods). Extracting largely from Black, Latinx…
Mar 14, 2024
Kenny Guo
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Footnotes

  1. may or may not be satire :)↩︎