Author

Jing-Qi Li

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Preprint Oct 2026

$Q$ Can Play That Game: Online Fitted $Q$-Iteration for Continuous-Action Zero-Sum Markov Games with Convex-Concave Function Approximation

Zero-sum Markov games arise in a wide variety of sequential decision-making problems such as adversarial learning and planning against modeled uncertainties. However, prior work on finite-sample guarantees on the learned state-action value function ($Q$-function) for zero-sum Markov games is largely restricted to finit...

Kushagra Gupta, Jing-Qi Li, Caden Armstrong et al. · 0 citations

Preprint Sep 2026

Characterizing Identifiability and Generalization for Inverse Receding-Horizon Linear-Quadratic Regulator Problems

We consider the problem of objective inference in the context of receding-horizon linear-quadratic regulator (LQR). In this setting, we are given sequential state-action observations, where each observed action is the first control of a newly solved finite-horizon LQR problem. We characterize when the objective of that...

Zhi-Yuan Jin, Jing-Qi Li, David Fridovich-Keil · 0 citations

#machine learning Preprint Oct 2024

Deep Reinforcement Learning for Reach-Avoid-Stay Problems

A two-step deep reinforcement learning framework that jointly learns the maximal robust RAS set and the corresponding control policy and identifies the RAS set with high accuracy while outperforming baseline methods on RAS tasks.

Gabriel Chênevert, Jingqi Li, A. Kannan et al. · 5 citations