Research theme

Strategic and equitable learning

What changes when decisions affect other decision makers?

Learning and optimization with interacting agents. This work examines uncertain beliefs, strategic advice, equilibrium, and the distribution of benefits from shared predictive models.

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Papers

2026AISTATS

Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners

Tinashe Handina, Tongxin Li, Kishan Panaganti, Eric Mazumdar, Adam Wierman

A measure of advice quality connects simulators and payoff predictions to strategic performance. The paper establishes benefits of reliable advice for approximate Stackelberg play and limitations on simultaneously exploiting accurate advice and protecting against inaccurate advice.

Games and equity Predictions Paper
How useful is imperfect advice against an adaptive opponent? game theory learning in games Bayesian games Stackelberg strategies equity public models learning augmented algorithms algorithms with predictions competitive analysis robustness consistency online optimization
2025IEEE Transactions on Transportation Electrification

Hierarchical Game for Coupled Power System With Energy Sharing and Transportation System

Dongxiang Yan, Tongxin Li, Changhong Zhao, Han Wang, Yue Chen

A hierarchical game couples an energy sharing mechanism with transportation decisions and power network constraints. The paper establishes properties of the energy sharing equilibrium and reformulates the coupled problem for numerical solution.

Energy Games and equity Paper
How do charging, traffic, and local energy trading influence one another? AI for energy electric vehicle charging demand response renewable energy load forecasting decarbonization game theory learning in games Bayesian games Stackelberg strategies equity public models
2024ICML

Building Socially-Equitable Public Models

Yejia Liu, Jianyi Yang, Pengfei Li, Tongxin Li, Shaolei Ren

The Equitable Objective trains a public predictive model around the outcomes of heterogeneous downstream agents. A policy gradient method and theoretical analysis study a more equitable distribution of performance, beyond optimizing prediction accuracy alone.

Games and equity Predictions Paper
Who benefits when many decision makers share one predictive model? game theory learning in games Bayesian games Stackelberg strategies equity public models learning augmented algorithms algorithms with predictions competitive analysis robustness consistency online optimization
2024NeurIPS

Safe Exploitative Play with Untrusted Type Beliefs

Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

The paper formalizes a risk and opportunity tradeoff for agents with uncertain beliefs about other players. Upper and lower bounds characterize the Pareto frontier in normal form and stochastic Bayesian games, with numerical illustrations of the tradeoff.

Games and equity Predictions Paper
How much risk comes from exploiting a predicted opponent type? game theory learning in games Bayesian games Stackelberg strategies equity public models learning augmented algorithms algorithms with predictions competitive analysis robustness consistency online optimization
2021IEEE Transactions on Power Systems

Decentralized Provision of Renewable Predictions Within a Virtual Power Plant

Yue Chen, Tongxin Li, Changhong Zhao, Wei Wei

A decentralized prediction provision scheme lets consumers obtain local forecasts and exchange summaries with a virtual power plant. The analysis studies social surplus, convergence, and the demand gap relative to centralized information sharing.

Energy Games and equity Predictions Paper
Can local renewable forecasts support decentralized market coordination? AI for energy electric vehicle charging demand response renewable energy load forecasting decarbonization game theory learning in games Bayesian games Stackelberg strategies equity public models learning augmented algorithms algorithms with predictions competitive analysis robustness consistency online optimization

Connected themes

Coordination through information and incentives

Virtual power plants use renewable predictions to coordinate consumers. Energy sharing and transportation games model how charging demand, prices, and network constraints interact.

Open directions

Accountable learning across agents

How should shared models balance efficiency, strategic risk, and equity?

Connect the downstream objectives of public models to robust strategic decision making. A key challenge is evaluating advice when its benefits and failures are distributed unevenly across participating agents.