Desensitization and Deception in Differential Games with Asymmetric Information
Vinodhini Comandur, Tulasi Ram Vechalapu, Venkata Ramana Makkapati,, Panagiotis Tsiotras, Seth Hutchinson

TL;DR
This paper extends desensitization techniques to two-player differential games with asymmetric information, proposing strategies for safe planning and deception under parametric uncertainties and information asymmetry.
Contribution
It introduces a novel framework for desensitized and deceptive strategies in differential games with asymmetric information, addressing safety and deception in uncertain environments.
Findings
Desensitized strategies ensure safe trajectories under parameter uncertainties.
Deceptive strategies effectively exploit information advantage.
Framework applied to pursuit-evasion with uncertain obstacles.
Abstract
Desensitization addresses safe optimal planning under parametric uncertainties by providing sensitivity function-based risk estimates. This paper expands upon the existing work on desensitization in optimal control to address safe planning for a class of two-player differential games. In the proposed game, parametric uncertainties correspond to variations of the model parameters for each player about their nominal values. The two players in the proposed formulation are assumed to have perfect information about these nominal parameter values. However, it is assumed that only one of the players has complete knowledge of the actual parameter value, resulting in information asymmetry in the proposed game. This lack of knowledge regarding the parameter variations is expected to result in state constraint violations for the player with an information disadvantage. In this regard, a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGuidance and Control Systems
