The considered inverse problem is to infer the cost function of one player using partial state observations as well as the control inputs of the other player.

In this paper, the inverse two-player feedback linear quadratic (LQ) dynamic games will be handled using segments of partially observed states. More explicitly, ...

This paper studies linear quadratic games with set up costs monotonic on the number of active players, namely, players whose action is non-null. Such games ...

Abstract— This paper aims to formulate and study the inverse problem of non-cooperative linear quadratic games: Given a profile of control strategies, ...

Aug 27, 2022 · As an extension of the inverse optimal control, the inverse linear quadratic (LQ) two-player dynamic game is studied in this paper.

Feb 27, 2024 · Abstract—This paper addresses the inverse optimal control for the linear quadratic tracking problem with a fixed but unknown target state ...

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations ... Intent Demonstration in General-Sum Dynamic Games via Iterative ...

Mar 6, 2024 · We show a model-based algorithm that can accomplish this task using the given trajectories. We then extend this model-based algorithm to a model ...

In this work, we address this issue by proposing a novel method for learning players' objectives in continuous dynamic games from noise-corrupted, partial state ...

3 days ago · The two-person zero-sum discrete-time feedback linear quadratic dynamic game is considered. A method that provides a saddle-point for the zero- ...